--------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/TJRyan/Dropbox/Summer work/Kinder/Replication files/analyses.log
  log type:  text
 opened on:  11 Aug 2015, 11:36:45

. do "/Users/TJRyan/Dropbox/Summer work/Kinder/Replication files/analyses.do"

. * This file conducts the analyses reported in Kinder and Ryan, "Prejudice and Politics Re-
> examined"
. * Analysis was conducted on State/SE 13.1 for Mac (64-bit Intel) 
. 
. * Text description of AMP
. use "xs_working.dta", clear

. svyset [pw=postweight]

      pweight: postweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: mean propwpleas if white==1
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    1084
Number of PSUs   =    1084          Population size  = 1457.07
                                    Design df        =    1083

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
  propwpleas |   .6660458   .0090363      .6483153    .6837764
--------------------------------------------------------------

. svy: mean propbpleas if white==1
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    1085
Number of PSUs   =    1085          Population size  =  1458.2
                                    Design df        =    1084

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
  propbpleas |   .5047701   .0104225      .4843195    .5252208
--------------------------------------------------------------

. ttest propwpleas==propbpleas if white==1

Paired t test
------------------------------------------------------------------------------
Variable |     Obs        Mean    Std. Err.   Std. Dev.   [95% Conf. Interval]
---------+--------------------------------------------------------------------
propwp~s |     985    .6686328    .0080201    .2517089    .6528943    .6843712
propbp~s |     985    .5076786    .0093219    .2925654    .4893855    .5259717
---------+--------------------------------------------------------------------
    diff |     985    .1609542    .0097304    .3053854    .1418595    .1800489
------------------------------------------------------------------------------
     mean(diff) = mean(propwpleas - propbpleas)                   t =  16.5414
 Ho: mean(diff) = 0                              degrees of freedom =      984

 Ha: mean(diff) < 0           Ha: mean(diff) != 0           Ha: mean(diff) > 0
 Pr(T < t) = 1.0000         Pr(|T| > |t|) = 0.0000          Pr(T > t) = 0.0000

. 
. * Text description of IAT
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: mean iat_d if white==1
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    1425
Number of PSUs   =    1425          Population size  = 1287.21
                                    Design df        =    1424

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       iat_d |   .1671912   .0167979      .1342398    .2001425
--------------------------------------------------------------

. 
. * Text description of RR
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: mean resentx if white==1
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    1505
Number of PSUs   =    1505          Population size  = 1365.74
                                    Design df        =    1504

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
     resentx |   .2429764   .0158038      .2119765    .2739762
--------------------------------------------------------------

. 
. * AMP / RR correlation in XS
. use "xs_working.dta", clear

. corr wbdif rresent if white==1 // .28
(obs=975)

             |    wbdif  rresent
-------------+------------------
       wbdif |   1.0000
     rresent |   0.2809   1.0000


. alpha ampitem2 ampitem3 ampitem4 ampitem5 ampitem6 ampitem7 ///
>         ampitem8 ampitem9 ampitem10 ampitem11 ampitem12 ampitem13 ///
>         ampitem14 ampitem15 ampitem16 ampitem17 ampitem18 ampitem19 ///
>         ampitem20 ampitem21 ampitem22 ampitem23 ampitem24 if white==1, asis // AMP reliabi
> lity = .85 

Test scale = mean(unstandardized items)

Average interitem covariance:     .0800213
Number of items in the scale:           23
Scale reliability coefficient:      0.8457

. alpha V085143 V085144 V085145 V085146 if white==1, c // Resentment reliability .77

Test scale = mean(unstandardized items)
Reversed items:  V085143 V085146

Average interitem covariance:     .6661319
Number of items in the scale:            4
Scale reliability coefficient:      0.7701

. di .28 / sqrt(.85 * .77) // Correction for attenuation. .35
.34610128

. 
. * IAT / RR correlation in Panel
. use "panel_working.dta", clear

. corr iat_d resentx if white==1 // .15
(obs=1703)

             |    iat_d  resentx
-------------+------------------
       iat_d |   1.0000
     resentx |   0.1489   1.0000


. alpha iat_d12 iat_d34 // IAT reliability. .47

Test scale = mean(unstandardized items)

Average interitem covariance:     .1078891
Number of items in the scale:            2
Scale reliability coefficient:      0.4748

. alpha rr1 rr2 rr3 rr4 if white==1 // Resentment reliability .80

Test scale = mean(unstandardized items)

Average interitem covariance:     .7523473
Number of items in the scale:            4
Scale reliability coefficient:      0.7984

. di .15 / sqrt(.47*.80) // Correction for attenuation. .24
.24462303

. 
. * Correlation between Racial resentment and all positive responses
. * (Mentioned in footnote)
. use "xs_working.dta", clear

. pwcorr allpos rresent if white==1, sig

             |   allpos  rresent
-------------+------------------
      allpos |   1.0000 
             |
             |
     rresent |  -0.0868   1.0000 
             |   0.0048
             |

. pwcorr allneg rresent if white==1, sig

             |   allneg  rresent
-------------+------------------
      allneg |   1.0000 
             |
             |
     rresent |   0.0666   1.0000 
             |   0.0305
             |

. 
. * Table 1 - Sample characteristics (XS)
. use "xs_working.dta", clear

. svyset [pw=postweight]

      pweight: postweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: mean white
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       white |   .7498722   .0095564      .7311322    .7686122
--------------------------------------------------------------

. svy: mean black
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
       black |   .1177201    .006007      .1059404    .1294998
--------------------------------------------------------------

. svy: mean hispanic
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
    hispanic |   .0900922   .0048337      .0806134    .0995711
--------------------------------------------------------------

. svy: mean other
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             |       Mean   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
   otherrace |   .0423155   .0057404      .0310586    .0535725
--------------------------------------------------------------

. 
. svy: prop educ // Education
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    2309
Number of PSUs   =    2309          Population size  = 2091.93
                                    Design df        =    2308

      _prop_1: educ = No Diploma
      _prop_2: educ = Diploma only
      _prop_3: educ = Some college
      _prop_5: educ = Adv. Degre

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
educ         |
     _prop_1 |    .117849    .008492      .1021883    .1355474
     _prop_2 |   .3138935    .012595      .2897367    .3391027
     _prop_3 |   .2879377   .0120132      .2649649    .3120567
          BA |   .1903752   .0114483      .1689302     .213842
     _prop_5 |   .0899447   .0085563      .0745166    .1081936
--------------------------------------------------------------

. svy: prop region // Region
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
region       |
           0 |   .1409303   .0102595      .1219854    .1622735
           1 |   .2097012   .0117222      .1876379    .2336127
           2 |   .4349776   .0134689      .4087736    .4615502
           3 |   .2143909   .0104418      .1946253    .2355767
--------------------------------------------------------------

. svy: prop female // Gender
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
female       |
           0 |   .4486936   .0136033      .4221901    .4754917
           1 |   .5513064   .0136033      .5245083    .5778099
--------------------------------------------------------------

. svy: prop agebin // Age
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    2322
Number of PSUs   =    2322          Population size  =    2102
                                    Design df        =    2321

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
agebin       |
           0 |   .2169548   .0120936      .1941764     .241604
           1 |   .1621469   .0096446      .1441114    .1819596
           2 |   .1965165     .01086      .1760874    .2186867
           3 |   .1779121   .0100375      .1590737    .1984551
           4 |   .2464697   .0115724      .2244847    .2698585
--------------------------------------------------------------

. 
. * Table 1 - Sample characteristics (Panel) 
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: prop der04 // Racial categories
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    1774
Number of PSUs   =    1774          Population size  =    1774
                                    Design df        =    1773

      _prop_1: der04 = 1. White, non-Hispanic
      _prop_2: der04 = 2. Black, non-Hispanic
      _prop_3: der04 = 3. Hispanic
      _prop_4: der04 = 4. Other, non-Hispanic

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
der04        |
     _prop_1 |   .7723723   .0159122      .7396682    .8020673
     _prop_2 |   .1210304    .012763      .0981447    .1483748
     _prop_3 |   .0728441   .0105846      .0546204    .0965271
     _prop_4 |   .0337532    .006253       .023422    .0484155
--------------------------------------------------------------

. svy: prop educ2 // Education
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    1774
Number of PSUs   =    1774          Population size  =    1774
                                    Design df        =    1773

      _prop_1: educ2 = No HS
      _prop_3: educ2 = Some col
      _prop_5: educ2 = Adv. Degree

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
educ2        |
     _prop_1 |   .0908721   .0132799      .0679697     .120494
     Diploma |   .3013302   .0171491      .2687974    .3359912
     _prop_3 |   .3121846   .0142997       .284848     .340894
          BA |   .1965222   .0114834      .1749692    .2200222
     _prop_5 |   .0990908   .0064213      .0871896    .1124165
--------------------------------------------------------------

. svy: prop region // Region
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    1774
Number of PSUs   =    1774          Population size  =    1774
                                    Design df        =    1773

      _prop_2: region = North Central

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
region       |
   Northeast |   .1855796   .0129762      .1614631    .2123858
     _prop_2 |   .2430968   .0135288      .2175532    .2706023
       South |   .3527092   .0164509      .3211533    .3856045
        West |   .2186145   .0138705      .1926295    .2470323
--------------------------------------------------------------

. svy: prop female // Gender
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    1774
Number of PSUs   =    1774          Population size  =    1774
                                    Design df        =    1773

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
female       |
           0 |   .4649754    .016747      .4323279    .4979258
           1 |   .5350246    .016747      .5020742    .5676721
--------------------------------------------------------------

. svy: prop agebin2 // Age
(running proportion on estimation sample)

Survey: Proportion estimation

Number of strata =       1          Number of obs    =    1774
Number of PSUs   =    1774          Population size  =    1774
                                    Design df        =    1773

--------------------------------------------------------------
             |             Linearized
             | Proportion   Std. Err.     [95% Conf. Interval]
-------------+------------------------------------------------
agebin2      |
           0 |   .1705831   .0161824      .1411434    .2046998
           1 |   .1711951   .0125601      .1479465    .1972512
           2 |   .2089665   .0126494      .1852381    .2348583
           3 |   .1947385   .0120368      .1722086    .2194346
           4 |   .2545168   .0135919      .2287887    .2820799
--------------------------------------------------------------

. 
. * Figure 1 - AMP distribution (XS)
. use "xs_working.dta", clear

. set scheme sj

. hist wbdif if white==1, percent ysc(r(0 30)) bin(17) yline(5 10 15 20 25 30) ylab(0(5)30) 
> xtitle(AMP) xscale(r(-1 1)) xlab(-1(.5)1) xtitle(AMP)
(bin=17, start=-.95652175, width=.11508951)

. 
. * Figure 1 - IAT and Resentment distributions (Panel)
. use "panel_working.dta", clear

. set scheme sj

. hist iat_d if white==1, percent ysc(r(0 30)) bin(17) yline(5 10 15 20 25 30) ylab(0(5)30) 
> xtitle(IAT) xscale(r(-2 2)) xlab(-2(1)2) xtitle(IAT)
(bin=17, start=-1.2534346, width=.16805984)

. hist resentx if white==1, percent ysc(r(0 30)) bin(17) start(-1) yline(5 10 15 20 25 30) y
> lab(0(5)30) xscale(r(-1 1)) xlab(-1(.5)1) xtitle(Racial resentment)
(bin=17, start=-1, width=.11764706)

. 
. * Table 2 - General election (XS)
. use "xs_working.dta", clear

. svyset [pw=postweight]

      pweight: postweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: probit mcvote wbdif2 pidr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       827
Number of PSUs     =       827                  Population size    = 1083.9579
                                                Design df          =       826
                                                F(  11,    816)    =     21.62
                                                Prob > F           =    0.0000

-------------------------------------------------------------------------------
              |             Linearized
       mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .1170781   .2446629     0.48   0.632     -.363156    .5973122
         pidr |    3.91046   .2774712    14.09   0.000     3.365828    4.455092
       female |   .0203359   .1433254     0.14   0.887    -.2609889    .3016608
          age |   .7105321    .312506     2.27   0.023     .0971329    1.323931
              |
       region |
           1  |   .1219383   .2292894     0.53   0.595    -.3281201    .5719967
           2  |    .282189   .2292009     1.23   0.219    -.1676958    .7320737
           3  |   -.186322   .2201195    -0.85   0.398    -.6183814    .2457375
              |
         educ |
Diploma only  |   .4316579     .37514     1.15   0.250    -.3046819    1.167998
Some college  |   .4665418   .3709735     1.26   0.209    -.2616199    1.194704
          BA  |   .5243082   .3864522     1.36   0.175    -.2342357    1.282852
  Adv. Degre  |   .4465885      .4218     1.06   0.290    -.3813374    1.274514
              |
        _cons |  -2.761073   .4598495    -6.00   0.000    -3.663684   -1.858462
-------------------------------------------------------------------------------

. svy: probit mcvote rresent pidr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       881
Number of PSUs     =       881                  Population size    = 1168.7172
                                                Design df          =       880
                                                F(  11,    870)    =     24.55
                                                Prob > F           =    0.0000

-------------------------------------------------------------------------------
              |             Linearized
       mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      rresent |   .9871989   .1695882     5.82   0.000     .6543542    1.320044
         pidr |   3.687357    .263545    13.99   0.000     3.170107    4.204607
       female |   .0488624   .1402469     0.35   0.728    -.2263951    .3241198
          age |   .8421648   .2854893     2.95   0.003     .2818455    1.402484
              |
       region |
           1  |   .0437539    .230325     0.19   0.849    -.4082965    .4958043
           2  |   .1768743   .2366219     0.75   0.455    -.2875348    .6412834
           3  |  -.1694379   .2367975    -0.72   0.474    -.6341918    .2953159
              |
         educ |
Diploma only  |   .4919012   .2825098     1.74   0.082    -.0625704    1.046373
Some college  |   .4753885   .2930959     1.62   0.105      -.09986    1.050637
          BA  |   .7665517   .3214632     2.38   0.017     .1356276    1.397476
  Adv. Degre  |   .6307347   .3505278     1.80   0.072    -.0572333    1.318703
              |
        _cons |  -2.998444   .4000361    -7.50   0.000     -3.78358   -2.213308
-------------------------------------------------------------------------------

. svy: probit mcvote wbdif2 rresent pidr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       821
Number of PSUs     =       821                  Population size    = 1078.6168
                                                Design df          =       820
                                                F(  12,    809)    =     20.13
                                                Prob > F           =    0.0000

-------------------------------------------------------------------------------
              |             Linearized
       mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |  -.1227433   .2395349    -0.51   0.608     -.592917    .3474305
      rresent |   1.016467   .1814295     5.60   0.000     .6603459    1.372588
         pidr |   3.753158   .2841048    13.21   0.000     3.195499    4.310816
       female |   .0643706   .1443225     0.45   0.656    -.2189145    .3476557
          age |   .6687725   .3081626     2.17   0.030     .0638921    1.273653
              |
       region |
           1  |   .0353732   .2403296     0.15   0.883    -.4363605     .507107
           2  |    .077196   .2499201     0.31   0.757    -.4133624    .5677544
           3  |  -.2195234   .2483217    -0.88   0.377    -.7069445    .2678976
              |
         educ |
Diploma only  |   .3913707   .3579799     1.09   0.275    -.3112941    1.094036
Some college  |   .4474874   .3648006     1.23   0.220    -.2685656     1.16354
          BA  |   .7378697   .3907809     1.89   0.059     -.029179    1.504918
  Adv. Degre  |   .5671627   .4163862     1.36   0.174    -.2501457    1.384471
              |
        _cons |  -2.879583   .4489706    -6.41   0.000     -3.76085   -1.998315
-------------------------------------------------------------------------------

. 
. * Table 2 - General election (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: probit mcvote iat_d pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1253
Number of PSUs     =      1253                  Population size    = 1064.1333
                                                Design df          =      1252
                                                F(  11,   1242)    =     29.62
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
        mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0899884   .1459629     0.62   0.538    -.1963705    .3763473
         pidr2 |   3.904638   .2225001    17.55   0.000     3.468124    4.341153
        female |  -.0064058   .1334536    -0.05   0.962    -.2682231    .2554114
           age |   .3117713   .3175612     0.98   0.326    -.3112395    .9347821
               |
        region |
North Central  |    -.03452   .2041738    -0.17   0.866    -.4350806    .3660405
        South  |   .3045281    .206001     1.48   0.140    -.0996172    .7086734
         West  |  -.0855788   .2057742    -0.42   0.678     -.489279    .3181214
               |
         educ2 |
      Diploma  |    .308145   .3393148     0.91   0.364    -.3575433    .9738334
     Some col  |  -.1117142    .316406    -0.35   0.724    -.7324587    .5090303
           BA  |  -.4496423    .312833    -1.44   0.151    -1.063377    .1640923
  Adv. Degree  |  -.3128068    .318585    -0.98   0.326    -.9378262    .3122126
               |
         _cons |  -1.833527   .3820058    -4.80   0.000     -2.58297   -1.084085
--------------------------------------------------------------------------------

. svy: probit mcvote resentx pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1332
Number of PSUs     =      1332                  Population size    = 1137.2994
                                                Design df          =      1331
                                                F(  11,   1321)    =     31.03
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
        mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |    .929828   .1653554     5.62   0.000     .6054424    1.254214
         pidr2 |   3.689199   .2165817    17.03   0.000      3.26432    4.114077
        female |    .042468   .1346976     0.32   0.753    -.2217748    .3067107
           age |   .4039505   .3093006     1.31   0.192    -.2028193     1.01072
               |
        region |
North Central  |  -.0620382   .1984573    -0.31   0.755    -.4513614     .327285
        South  |   .2923311   .2082642     1.40   0.161    -.1162308    .7008931
         West  |  -.0643052   .2076282    -0.31   0.757    -.4716195    .3430091
               |
         educ2 |
      Diploma  |   .2607196   .3123618     0.83   0.404    -.3520555    .8734948
     Some col  |   -.170643   .2908972    -0.59   0.558      -.74131     .400024
           BA  |   -.326993   .2905667    -1.13   0.261    -.8970116    .2430256
  Adv. Degree  |  -.0513364   .2954749    -0.17   0.862    -.6309837    .5283109
               |
         _cons |  -2.026003   .3727572    -5.44   0.000    -2.757259   -1.294747
--------------------------------------------------------------------------------

. svy: probit mcvote iat_d resentx pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1248
Number of PSUs     =      1248                  Population size    = 1060.8353
                                                Design df          =      1247
                                                F(  12,   1236)    =     25.38
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
        mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0017802   .1497728    -0.01   0.991    -.2956147    .2920543
       resentx |    .955279   .1708043     5.59   0.000     .6201834    1.290375
         pidr2 |   3.674774   .2272083    16.17   0.000     3.229021    4.120527
        female |   .0604788   .1398313     0.43   0.665    -.2138518    .3348094
           age |   .5021872   .3211004     1.56   0.118    -.1277693    1.132144
               |
        region |
North Central  |  -.1092734   .2038458    -0.54   0.592    -.5091921    .2906453
        South  |   .2149115   .2121848     1.01   0.311    -.2013672    .6311902
         West  |   -.096521   .2174372    -0.44   0.657    -.5231041     .330062
               |
         educ2 |
      Diploma  |   .1025907   .3442908     0.30   0.766    -.5728625    .7780438
     Some col  |  -.3270103   .3239352    -1.01   0.313    -.9625284    .3085079
           BA  |  -.5196807   .3225816    -1.61   0.107    -1.152543    .1131817
  Adv. Degree  |  -.2963991   .3298309    -0.90   0.369    -.9434838    .3506856
               |
         _cons |  -1.844051   .3896461    -4.73   0.000    -2.608485   -1.079617
--------------------------------------------------------------------------------

. 
. * Table  3 - Primary election (XS)
. use "xs_working.dta", clear

. svyset [pw=preweight]

      pweight: preweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. drop if V083098x==4 | V083098x==5 | V083098x==6 
(653 observations deleted)

. svy: probit primvote wbdif2 pidstr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       206
Number of PSUs     =       206                  Population size    =  311.8877
                                                Design df          =       205
                                                F(  11,    195)    =      2.15
                                                Prob > F           =    0.0189

-------------------------------------------------------------------------------
              |             Linearized
     primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0971891   .3740781     0.26   0.795    -.6403445    .8347227
       pidstr |  -.5412344   .3315778    -1.63   0.104    -1.194974    .1125056
       female |  -.0338492   .2064936    -0.16   0.870    -.4409728    .3732743
          age |   .0364179   .4993101     0.07   0.942    -.9480237     1.02086
              |
       region |
           1  |  -.7891886   .3599109    -2.19   0.029     -1.49879    -.079587
           2  |  -.3486968   .3504846    -0.99   0.321    -1.039714    .3423198
           3  |    -1.1067   .3583987    -3.09   0.002    -1.813321   -.4000802
              |
         educ |
Diploma only  |  -.8827237   .5036277    -1.75   0.081    -1.875678    .1102303
Some college  |  -.9525459   .5071801    -1.88   0.062    -1.952504    .0474122
          BA  |  -1.128766   .5181653    -2.18   0.031    -2.150383   -.1071498
  Adv. Degre  |  -1.297645   .5577835    -2.33   0.021    -2.397373   -.1979168
              |
        _cons |   2.273045   .6602753     3.44   0.001     .9712441    3.574846
-------------------------------------------------------------------------------

. svy: probit primvote rresent pidstr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       220
Number of PSUs     =       220                  Population size    =  336.7433
                                                Design df          =       219
                                                F(  11,    209)    =      3.36
                                                Prob > F           =    0.0003

-------------------------------------------------------------------------------
              |             Linearized
     primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      rresent |   .8733219   .2173473     4.02   0.000     .4449618    1.301682
       pidstr |  -.4264617   .3297439    -1.29   0.197    -1.076339    .2234159
       female |   -.040232   .1997129    -0.20   0.841    -.4338372    .3533731
          age |  -.0451604   .4910719    -0.09   0.927    -1.012992    .9226713
              |
       region |
           1  |  -.9357156   .3497354    -2.68   0.008    -1.624994   -.2464377
           2  |    -.60476   .3404559    -1.78   0.077    -1.275749    .0662293
           3  |  -1.163957   .3511917    -3.31   0.001    -1.856105   -.4718088
              |
         educ |
Diploma only  |  -.6546867   .4579203    -1.43   0.154    -1.557181    .2478079
Some college  |  -.5100783    .473905    -1.08   0.283    -1.444077      .42392
          BA  |  -.5052304   .4880591    -1.04   0.302    -1.467124    .4566635
  Adv. Degre  |  -.5193333   .5226956    -0.99   0.322    -1.549491     .510824
              |
        _cons |   1.921917   .6257894     3.07   0.002     .6885769    3.155258
-------------------------------------------------------------------------------

. svy: probit primvote wbdif2 rresent pidstr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       206
Number of PSUs     =       206                  Population size    =  311.8877
                                                Design df          =       205
                                                F(  12,    194)    =      2.76
                                                Prob > F           =    0.0018

-------------------------------------------------------------------------------
              |             Linearized
     primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |  -.1248828    .383327    -0.33   0.745    -.8806517     .630886
      rresent |   .8183531   .2250244     3.64   0.000     .3746943    1.262012
       pidstr |  -.4484045   .3345206    -1.34   0.182    -1.107946    .2111374
       female |   .0037808    .208032     0.02   0.986    -.4063758    .4139374
          age |  -.0330297   .5125049    -0.06   0.949    -1.043486    .9774267
              |
       region |
           1  |   -.855501   .3621152    -2.36   0.019    -1.569448   -.1415535
           2  |  -.5129774    .358693    -1.43   0.154    -1.220178     .194223
           3  |  -1.105459   .3642732    -3.03   0.003    -1.823662   -.3872571
              |
         educ |
Diploma only  |  -.8347221   .5113756    -1.63   0.104    -1.842952    .1735079
Some college  |   -.714414   .5105281    -1.40   0.163    -1.720973     .292145
          BA  |  -.7182106   .5271644    -1.36   0.175     -1.75757    .3211485
  Adv. Degre  |  -.7412794   .5714432    -1.30   0.196    -1.867939    .3853801
              |
        _cons |   2.024112     .64845     3.12   0.002     .7456257    3.302598
-------------------------------------------------------------------------------

. 
. * Table  3 - Primary election (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. drop if pidr==3 | pidr==4 // Drop Republicans
(1270 observations deleted)

. svy: probit primvote iat_d pidstr female age i.region i.educ2 if white==1
(running probit on estimation sample)

note: 0b.educ2 != 0 predicts success perfectly
      0b.educ2 dropped and 6 obs not used
note: 4.educ2 omitted because of collinearity

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       418
Number of PSUs     =       418                  Population size    = 308.21101
                                                Design df          =       417
                                                F(  10,    408)    =      1.96
                                                Prob > F           =    0.0366

--------------------------------------------------------------------------------
               |             Linearized
      primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0481803   .1841028     0.26   0.794    -.3137049    .4100654
        pidstr |  -.1288607   .2424205    -0.53   0.595    -.6053792    .3476578
        female |  -.0783329   .1754125    -0.45   0.655    -.4231359    .2664701
           age |  -.1595734   .4526054    -0.35   0.725    -1.049246     .730099
               |
        region |
North Central  |  -.1319285   .2334359    -0.57   0.572    -.5907862    .3269291
        South  |   .2014946   .2611302     0.77   0.441    -.3118009    .7147901
         West  |  -.4644621   .2645875    -1.76   0.080    -.9845535    .0556294
               |
         educ2 |
        No HS  |          0  (empty)
      Diploma  |    .266201   .2550845     1.04   0.297    -.2352107    .7676127
     Some col  |   .4249962   .2177468     1.95   0.052    -.0030221    .8530144
           BA  |   -.128741   .1957106    -0.66   0.511    -.5134432    .2559612
  Adv. Degree  |          0  (omitted)
               |
         _cons |   .5238398   .3632716     1.44   0.150    -.1902321    1.237912
--------------------------------------------------------------------------------

. svy: probit primvote resentx pidstr female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       448
Number of PSUs     =       448                  Population size    = 347.11235
                                                Design df          =       447
                                                F(  11,    437)    =      3.07
                                                Prob > F           =    0.0006

--------------------------------------------------------------------------------
               |             Linearized
      primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .5072599   .1995138     2.54   0.011     .1151584    .8993615
        pidstr |  -.0467142   .2546205    -0.18   0.855    -.5471162    .4536877
        female |  -.1255099    .173224    -0.72   0.469    -.4659444    .2149247
           age |   .5346223   .4643825     1.15   0.250    -.3780218    1.447266
               |
        region |
North Central  |  -.0802821   .2375213    -0.34   0.736    -.5470792    .3865151
        South  |   .2418904   .2562999     0.94   0.346    -.2618121    .7455928
         West  |  -.4190517   .2587373    -1.62   0.106    -.9275443     .089441
               |
         educ2 |
      Diploma  |   -.460017   .5669643    -0.81   0.418    -1.574263    .6542295
     Some col  |  -.2967853   .5657922    -0.52   0.600    -1.408728    .8151578
           BA  |  -.6676675   .5727754    -1.17   0.244    -1.793335    .4579996
  Adv. Degree  |  -.6687192   .5498975    -1.22   0.225    -1.749425    .4119862
               |
         _cons |   .8033837   .6973768     1.15   0.250    -.5671607    2.173928
--------------------------------------------------------------------------------

. svy: probit primvote iat_d resentx pidstr female age i.region i.educ2 if white==1
(running probit on estimation sample)

note: 0b.educ2 != 0 predicts success perfectly
      0b.educ2 dropped and 6 obs not used
note: 4.educ2 omitted because of collinearity

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       417
Number of PSUs     =       417                  Population size    = 307.74024
                                                Design df          =       416
                                                F(  11,    406)    =      2.28
                                                Prob > F           =    0.0103

--------------------------------------------------------------------------------
               |             Linearized
      primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0077088    .188887    -0.04   0.967    -.3790008    .3635831
       resentx |   .5110924    .208068     2.46   0.014     .1020967     .920088
        pidstr |  -.0663762   .2520403    -0.26   0.792    -.5618074    .4290551
        female |   -.053073   .1766871    -0.30   0.764    -.4003838    .2942377
           age |  -.0321474   .4550209    -0.07   0.944    -.9265742    .8622794
               |
        region |
North Central  |  -.1786858   .2361357    -0.76   0.450    -.6428536    .2854821
        South  |   .1966213   .2593635     0.76   0.449     -.313205    .7064477
         West  |  -.4311043   .2597963    -1.66   0.098    -.9417814    .0795728
               |
         educ2 |
        No HS  |          0  (empty)
      Diploma  |    .089159   .2657248     0.34   0.737    -.4331716    .6114897
     Some col  |   .2426356   .2297894     1.06   0.292    -.2090574    .6943287
           BA  |  -.2012404   .1970202    -1.02   0.308    -.5885196    .1860388
  Adv. Degree  |          0  (omitted)
               |
         _cons |   .5459332   .3589201     1.52   0.129    -.1595899    1.251456
--------------------------------------------------------------------------------

. 
. * Table 4 - Race policies (XS)
. use "xs_working.dta", clear

. svyset [pw=postweight]

      pweight: postweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg govassist wbdif2 pidr female age i.region i.educ  if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       938
Number of PSUs     =       938                  Population size    =  1235.274
                                                Design df          =       937
                                                F(  11,    927)    =     14.23
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1758

-------------------------------------------------------------------------------
              |             Linearized
    govassist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0869808    .030386     2.86   0.004     .0273482    .1466133
         pidr |   .2517398   .0321911     7.82   0.000     .1885649    .3149148
       female |  -.0329969   .0196221    -1.68   0.093    -.0715051    .0055114
          age |  -.0394746   .0450231    -0.88   0.381    -.1278324    .0488832
              |
       region |
           1  |   .0118842   .0356435     0.33   0.739    -.0580661    .0818345
           2  |   .0463355   .0306376     1.51   0.131    -.0137908    .1064618
           3  |  -.0591623   .0332411    -1.78   0.075     -.124398    .0060734
              |
         educ |
Diploma only  |   .0349081   .0586375     0.60   0.552    -.0801679     .149984
Some college  |  -.0115556    .058969    -0.20   0.845    -.1272823     .104171
          BA  |  -.0223681   .0604555    -0.37   0.711    -.1410119    .0962758
  Adv. Degre  |  -.0549741   .0611907    -0.90   0.369    -.1750608    .0651127
              |
        _cons |   .5670059   .0620676     9.14   0.000     .4451982    .6888136
-------------------------------------------------------------------------------

. svy: reg govassist rresent pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       996
Number of PSUs     =       996                  Population size    = 1321.4314
                                                Design df          =       995
                                                F(  11,    985)    =     48.55
                                                Prob > F           =    0.0000
                                                R-squared          =    0.3554

-------------------------------------------------------------------------------
              |             Linearized
    govassist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      rresent |   .2901789   .0173192    16.75   0.000     .2561925    .3241653
         pidr |   .1183161   .0281461     4.20   0.000     .0630835    .1735487
       female |  -.0273277   .0167543    -1.63   0.103    -.0602054      .00555
          age |  -.0297198   .0402136    -0.74   0.460    -.1086331    .0491935
              |
       region |
           1  |   .0069771   .0305523     0.23   0.819    -.0529772    .0669315
           2  |   .0187418   .0249383     0.75   0.453    -.0301958    .0676795
           3  |  -.0389631   .0259505    -1.50   0.134    -.0898871    .0119608
              |
         educ |
Diploma only  |   .0117415   .0518304     0.23   0.821    -.0899678    .1134509
Some college  |  -.0188287   .0520581    -0.36   0.718     -.120985    .0833275
          BA  |   .0246473   .0529749     0.47   0.642    -.0793081    .1286028
  Adv. Degre  |   .0078612    .053905     0.15   0.884    -.0979193    .1136417
              |
        _cons |   .5612623   .0543856    10.32   0.000     .4545386     .667986
-------------------------------------------------------------------------------

. svy: reg govassist wbdif2 rresent pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       932
Number of PSUs     =       932                  Population size    = 1228.1193
                                                Design df          =       931
                                                F(  12,    920)    =     42.12
                                                Prob > F           =    0.0000
                                                R-squared          =    0.3550

-------------------------------------------------------------------------------
              |             Linearized
    govassist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |    .011437   .0280427     0.41   0.683    -.0435972    .0664712
      rresent |   .2847652   .0181817    15.66   0.000     .2490834     .320447
         pidr |   .1212508   .0298001     4.07   0.000     .0627676     .179734
       female |  -.0284506   .0175549    -1.62   0.105    -.0629024    .0060011
          age |   -.046742   .0424997    -1.10   0.272    -.1301483    .0366642
              |
       region |
           1  |   .0039955   .0316725     0.13   0.900    -.0581623    .0661533
           2  |   .0128195   .0262951     0.49   0.626     -.038785     .064424
           3  |  -.0474048   .0276078    -1.72   0.086    -.1015855    .0067759
              |
         educ |
Diploma only  |   .0384782   .0565979     0.68   0.497    -.0725961    .1495526
Some college  |   .0112403   .0569036     0.20   0.843    -.1004338    .1229145
          BA  |    .060015   .0577499     1.04   0.299    -.0533201    .1733501
  Adv. Degre  |   .0247834   .0588296     0.42   0.674    -.0906706    .1402374
              |
        _cons |   .5427772   .0582326     9.32   0.000     .4284949    .6570596
-------------------------------------------------------------------------------

. 
. svy: reg hireblacks wbdif2 pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       998
Number of PSUs     =       998                  Population size    = 1335.8689
                                                Design df          =       997
                                                F(  11,    987)    =      6.21
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1033

-------------------------------------------------------------------------------
              |             Linearized
   hireblacks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0863305   .0327651     2.63   0.009     .0220341    .1506269
         pidr |   .1689386   .0300496     5.62   0.000     .1099709    .2279063
       female |  -.0093134   .0185312    -0.50   0.615    -.0456781    .0270513
          age |   .0845738   .0456048     1.85   0.064    -.0049186    .1740662
              |
       region |
           1  |   .0555034   .0388488     1.43   0.153    -.0207314    .1317381
           2  |   .0796135   .0344676     2.31   0.021     .0119762    .1472509
           3  |    .027872   .0376967     0.74   0.460     -.046102     .101846
              |
         educ |
Diploma only  |   .0826048   .0589132     1.40   0.161    -.0330033    .1982129
Some college  |   .1278653   .0589997     2.17   0.030     .0120874    .2436432
          BA  |   .0935826   .0622883     1.50   0.133    -.0286486    .2158138
  Adv. Degre  |   .0868442   .0658664     1.32   0.188    -.0424085     .216097
              |
        _cons |   .5673815   .0755913     7.51   0.000     .4190453    .7157177
-------------------------------------------------------------------------------

. svy: reg hireblacks rresent pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1062
Number of PSUs     =      1062                  Population size    = 1428.8229
                                                Design df          =      1061
                                                F(  11,   1051)    =     18.31
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2278

-------------------------------------------------------------------------------
              |             Linearized
   hireblacks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      rresent |   .2360881   .0217368    10.86   0.000      .193436    .2787401
         pidr |   .0967735   .0286918     3.37   0.001     .0404744    .1530727
       female |  -.0059508   .0170638    -0.35   0.727    -.0394335    .0275318
          age |   .0369998   .0416305     0.89   0.374    -.0446876    .1186872
              |
       region |
           1  |   .0499268   .0366486     1.36   0.173    -.0219852    .1218388
           2  |   .0278482   .0316705     0.88   0.379    -.0342957    .0899921
           3  |   .0224806   .0330759     0.68   0.497     -.042421    .0873822
              |
         educ |
Diploma only  |    .102834   .0542623     1.90   0.058    -.0036395    .2093076
Some college  |   .1616108   .0538726     3.00   0.003     .0559019    .2673197
          BA  |   .1752767   .0566993     3.09   0.002     .0640212    .2865322
  Adv. Degre  |   .1741938   .0585212     2.98   0.003     .0593633    .2890243
              |
        _cons |   .5444751   .0687953     7.91   0.000     .4094849    .6794654
-------------------------------------------------------------------------------

. svy: reg hireblacks wbdif2 rresent pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       991
Number of PSUs     =       991                  Population size    = 1327.5639
                                                Design df          =       990
                                                F(  12,    979)    =     15.50
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2232

-------------------------------------------------------------------------------
              |             Linearized
   hireblacks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0268678   .0312535     0.86   0.390     -.034463    .0881985
      rresent |     .22715    .022054    10.30   0.000      .183872     .270428
         pidr |   .0767793   .0294454     2.61   0.009     .0189966     .134562
       female |  -.0056998   .0173106    -0.33   0.742    -.0396694    .0282698
          age |   .0723332   .0426473     1.70   0.090    -.0113564    .1560227
              |
       region |
           1  |   .0467304   .0371918     1.26   0.209    -.0262535    .1197143
           2  |   .0470454   .0325206     1.45   0.148    -.0167719    .1108627
           3  |   .0308104   .0343432     0.90   0.370    -.0365835    .0982042
              |
         educ |
Diploma only  |   .0885685   .0581317     1.52   0.128     -.025507     .202644
Some college  |   .1450707   .0580683     2.50   0.013     .0311196    .2590218
          BA  |   .1545299   .0611423     2.53   0.012     .0345466    .2745132
  Adv. Degre  |   .1442858    .063393     2.28   0.023     .0198857    .2686859
              |
        _cons |   .5495407   .0731494     7.51   0.000      .405995    .6930864
-------------------------------------------------------------------------------

. 
. * Table 4 - Race policies (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg fairjobw11 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1423
Number of PSUs     =      1423                  Population size    =  1286.393
                                                Design df          =      1422
                                                F(  11,   1412)    =      5.44
                                                Prob > F           =    0.0000
                                                R-squared          =    0.0672

--------------------------------------------------------------------------------
               |             Linearized
    fairjobw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0655295   .0271742     2.41   0.016     .0122237    .1188352
         pidr2 |   .2014081   .0354413     5.68   0.000     .1318853    .2709309
        female |   -.048026   .0246422    -1.95   0.052    -.0963651    .0003131
           age |  -.0625291   .0636969    -0.98   0.326    -.1874791    .0624209
               |
        region |
North Central  |  -.0125317    .034383    -0.36   0.716    -.0799786    .0549151
        South  |  -.0177592   .0337448    -0.53   0.599    -.0839541    .0484357
         West  |   .0024817   .0356488     0.07   0.945    -.0674482    .0724117
               |
         educ2 |
      Diploma  |   .0275471   .0853766     0.32   0.747    -.1399306    .1950248
     Some col  |   .0547337     .08346     0.66   0.512    -.1089843    .2184518
           BA  |   .0426595   .0839798     0.51   0.612     -.122078     .207397
  Adv. Degree  |   -.012952    .085226    -0.15   0.879    -.1801341    .1542302
               |
         _cons |   .3037181   .0869477     3.49   0.000     .1331587    .4742776
--------------------------------------------------------------------------------

. svy: reg fairjobw11 resentx pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1504
Number of PSUs     =      1504                  Population size    = 1365.2048
                                                Design df          =      1503
                                                F(  11,   1493)    =     12.98
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1342

--------------------------------------------------------------------------------
               |             Linearized
    fairjobw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .2173274   .0303265     7.17   0.000     .1578406    .2768141
         pidr2 |   .1022904   .0367431     2.78   0.005     .0302171    .1743636
        female |  -.0361132   .0243217    -1.48   0.138    -.0838212    .0115947
           age |  -.0402466   .0605272    -0.66   0.506    -.1589733    .0784801
               |
        region |
North Central  |  -.0134203   .0319701    -0.42   0.675    -.0761312    .0492905
        South  |  -.0434589   .0330066    -1.32   0.188    -.1082029     .021285
         West  |   .0044978   .0339288     0.13   0.895    -.0620549    .0710506
               |
         educ2 |
      Diploma  |   .0499579   .0696907     0.72   0.474    -.0867435    .1866594
     Some col  |   .0692955   .0674378     1.03   0.304    -.0629867    .2015776
           BA  |   .0882945   .0676601     1.30   0.192    -.0444237    .2210127
  Adv. Degree  |   .0521197   .0673994     0.77   0.439     -.080087    .1843265
               |
         _cons |   .2787731   .0784858     3.55   0.000     .1248199    .4327264
--------------------------------------------------------------------------------

. svy: reg fairjobw11 resentx iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1417
Number of PSUs     =      1417                  Population size    = 1282.2218
                                                Design df          =      1416
                                                F(  12,   1405)    =     10.83
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1355

--------------------------------------------------------------------------------
               |             Linearized
    fairjobw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .2186161    .031451     6.95   0.000     .1569206    .2803115
         iat_d |   .0367627   .0256701     1.43   0.152    -.0135927    .0871182
         pidr2 |   .0958611   .0378736     2.53   0.011     .0215667    .1701556
        female |  -.0339267   .0247712    -1.37   0.171    -.0825188    .0146654
           age |  -.0504156   .0644671    -0.78   0.434     -.176877    .0760458
               |
        region |
North Central  |  -.0162008   .0326549    -0.50   0.620    -.0802579    .0478563
        South  |  -.0352175   .0334257    -1.05   0.292    -.1007867    .0303517
         West  |   .0113902   .0349503     0.33   0.745    -.0571696    .0799501
               |
         educ2 |
      Diploma  |  -.0011511   .0785843    -0.01   0.988    -.1553052     .153003
     Some col  |   .0252587   .0763587     0.33   0.741    -.1245297    .1750471
           BA  |   .0411894    .076561     0.54   0.591    -.1089958    .1913746
  Adv. Degree  |   .0119523    .076521     0.16   0.876    -.1381544    .1620591
               |
         _cons |   .3226658   .0852539     3.78   0.000     .1554283    .4899033
--------------------------------------------------------------------------------

. 
. svy: reg hiringw11 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1424
Number of PSUs     =      1424                  Population size    = 1286.9713
                                                Design df          =      1423
                                                F(  11,   1413)    =      7.38
                                                Prob > F           =    0.0000
                                                R-squared          =    0.0934

--------------------------------------------------------------------------------
               |             Linearized
     hiringw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |    .032006   .0193499     1.65   0.098    -.0059515    .0699634
         pidr2 |   .1807908   .0288482     6.27   0.000     .1242013    .2373803
        female |   -.050579   .0198632    -2.55   0.011    -.0895433   -.0116147
           age |   .0093959    .048884     0.19   0.848    -.0864966    .1052883
               |
        region |
North Central  |   .0118458   .0270122     0.44   0.661    -.0411422    .0648338
        South  |   .0455029   .0264787     1.72   0.086    -.0064386    .0974445
         West  |  -.0412701   .0343494    -1.20   0.230     -.108651    .0261108
               |
         educ2 |
      Diploma  |   .0302187   .0527187     0.57   0.567    -.0731959    .1336333
     Some col  |   .0672639   .0498321     1.35   0.177    -.0304884    .1650161
           BA  |   .0646311   .0507824     1.27   0.203    -.0349854    .1642476
  Adv. Degree  |   .0356877   .0516951     0.69   0.490    -.0657192    .1370945
               |
         _cons |   .6362962   .0567172    11.22   0.000     .5250378    .7475545
--------------------------------------------------------------------------------

. svy: reg hiringw11 resentx pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1504
Number of PSUs     =      1504                  Population size    = 1365.5046
                                                Design df          =      1503
                                                F(  11,   1493)    =     15.09
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1612

--------------------------------------------------------------------------------
               |             Linearized
     hiringw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .1648429    .026748     6.16   0.000     .1123756    .2173103
         pidr2 |    .118098    .033082     3.57   0.000     .0532063    .1829897
        female |   -.045001   .0200085    -2.25   0.025    -.0842486   -.0057534
           age |   .0415567   .0468804     0.89   0.376    -.0504013    .1335147
               |
        region |
North Central  |   .0110441   .0259833     0.43   0.671    -.0399231    .0620114
        South  |    .018256   .0270637     0.67   0.500    -.0348306    .0713426
         West  |  -.0298607   .0312569    -0.96   0.340    -.0911725    .0314511
               |
         educ2 |
      Diploma  |   .0513824   .0539513     0.95   0.341    -.0544453    .1572102
     Some col  |   .0774432   .0512905     1.51   0.131    -.0231654    .1780518
           BA  |   .0985759    .050925     1.94   0.053    -.0013157    .1984675
  Adv. Degree  |   .0803748   .0501444     1.60   0.109    -.0179856    .1787353
               |
         _cons |   .6049007   .0588194    10.28   0.000     .4895238    .7202776
--------------------------------------------------------------------------------

. svy: reg hiringw11 resentx iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1417
Number of PSUs     =      1417                  Population size    = 1282.5215
                                                Design df          =      1416
                                                F(  12,   1405)    =     12.11
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1620

--------------------------------------------------------------------------------
               |             Linearized
     hiringw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .1768263   .0230844     7.66   0.000     .1315429    .2221096
         iat_d |   .0085728   .0191763     0.45   0.655    -.0290443    .0461898
         pidr2 |   .0957833   .0300264     3.19   0.001     .0368823    .1546844
        female |  -.0386135   .0196762    -1.96   0.050    -.0772111   -.0000158
           age |   .0182966   .0492305     0.37   0.710     -.078276    .1148691
               |
        region |
North Central  |   .0076567   .0265955     0.29   0.773    -.0445141    .0598275
        South  |   .0313703    .026594     1.18   0.238    -.0207977    .0835382
         West  |  -.0337939    .033038    -1.02   0.307    -.0986026    .0310148
               |
         educ2 |
      Diploma  |   .0068507   .0481947     0.14   0.887    -.0876899    .1013913
     Some col  |   .0427173   .0450379     0.95   0.343     -.045631    .1310656
           BA  |   .0620221   .0459969     1.35   0.178    -.0282073    .1522515
  Adv. Degree  |   .0558064   .0468871     1.19   0.234    -.0361692     .147782
               |
         _cons |   .6520234   .0528869    12.33   0.000     .5482784    .7557685
--------------------------------------------------------------------------------

. 
. * Table 5 - Opposition to health reform (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg medcarew1 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       788
Number of PSUs     =       788                  Population size    = 713.35363
                                                Design df          =       787
                                                F(  11,    777)    =     17.06
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2405

--------------------------------------------------------------------------------
               |             Linearized
     medcarew1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   -.001825   .0404464    -0.05   0.964    -.0812205    .0775705
         pidr2 |   .4650059   .0484483     9.60   0.000     .3699028    .5601091
        female |  -.0792197    .038854    -2.04   0.042    -.1554894     -.00295
           age |    .338456   .0963447     3.51   0.000     .1493331    .5275789
               |
        region |
North Central  |   .0772462   .0516763     1.49   0.135    -.0241935    .1786858
        South  |   .0590672   .0555218     1.06   0.288    -.0499212    .1680555
         West  |   .0849111   .0573814     1.48   0.139    -.0277277    .1975498
               |
         educ2 |
      Diploma  |  -.0997485   .1028864    -0.97   0.333    -.3017126    .1022157
     Some col  |  -.0008425   .0966099    -0.01   0.993    -.1904862    .1888011
           BA  |   .0526893   .1000318     0.53   0.599    -.1436715    .2490501
  Adv. Degree  |    .109431    .100278     1.09   0.275     -.087413     .306275
               |
         _cons |   .0702592    .129711     0.54   0.588    -.1843612    .3248796
--------------------------------------------------------------------------------

. svy: reg medcarew1 resentx pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       836
Number of PSUs     =       836                  Population size    = 759.61123
                                                Design df          =       835
                                                F(  11,    825)    =     19.28
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2482

--------------------------------------------------------------------------------
               |             Linearized
     medcarew1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |  -.0014551   .0408275    -0.04   0.972    -.0815916    .0786814
         pidr2 |   .4668696   .0525946     8.88   0.000     .3636365    .5701027
        female |  -.0773242   .0381536    -2.03   0.043    -.1522124    -.002436
           age |   .3502407   .0889148     3.94   0.000     .1757179    .5247635
               |
        region |
North Central  |   .0870671   .0509656     1.71   0.088    -.0129686    .1871027
        South  |   .0558532   .0544344     1.03   0.305    -.0509911    .1626975
         West  |    .070385    .055407     1.27   0.204    -.0383685    .1791384
               |
         educ2 |
      Diploma  |  -.0601952   .0904337    -0.67   0.506    -.2376993    .1173089
     Some col  |   .0247904   .0843799     0.29   0.769    -.1408313    .1904121
           BA  |    .092604   .0882841     1.05   0.295    -.0806809    .2658888
  Adv. Degree  |   .1306814   .0890832     1.47   0.143    -.0441719    .3055347
               |
         _cons |   .0375987   .1194906     0.31   0.753    -.1969386    .2721359
--------------------------------------------------------------------------------

. svy: reg medcarew1 iat_d resentx pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       784
Number of PSUs     =       784                  Population size    = 710.68058
                                                Design df          =       783
                                                F(  12,    772)    =     15.50
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2392

--------------------------------------------------------------------------------
               |             Linearized
     medcarew1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0006084   .0401875     0.02   0.988    -.0782796    .0794963
       resentx |  -.0009754   .0418504    -0.02   0.981    -.0831276    .0811767
         pidr2 |   .4626955   .0555759     8.33   0.000     .3536001    .5717909
        female |  -.0813427   .0394794    -2.06   0.040    -.1588407   -.0038448
           age |   .3346268   .0965517     3.47   0.001     .1450961    .5241576
               |
        region |
North Central  |    .078691   .0515793     1.53   0.128    -.0225592    .1799411
        South  |   .0595031   .0554244     1.07   0.283    -.0492949    .1683012
         West  |   .0825123   .0575497     1.43   0.152    -.0304578    .1954823
               |
         educ2 |
      Diploma  |  -.0985088   .1031821    -0.95   0.340     -.301055    .1040374
     Some col  |  -.0010098    .096509    -0.01   0.992    -.1904567    .1884371
           BA  |   .0553091   .0997216     0.55   0.579    -.1404442    .2510624
  Adv. Degree  |   .1104692   .1003205     1.10   0.271    -.0864597    .3073982
               |
         _cons |   .0728282   .1284284     0.57   0.571    -.1792765     .324933
--------------------------------------------------------------------------------

. 
. svy: reg medcarew10 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       721
Number of PSUs     =       721                  Population size    =  642.1024
                                                Design df          =       720
                                                F(  11,    710)    =     19.94
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2982

--------------------------------------------------------------------------------
               |             Linearized
    medcarew10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0172267   .0398752     0.43   0.666    -.0610589    .0955124
         pidr2 |   .5516167   .0485833    11.35   0.000     .4562349    .6469985
        female |  -.0501647   .0355064    -1.41   0.158    -.1198732    .0195438
           age |   .1923799   .0903587     2.13   0.034     .0149819     .369778
               |
        region |
North Central  |    .022884   .0527956     0.43   0.665    -.0807677    .1265358
        South  |     .03348   .0526965     0.64   0.525    -.0699771    .1369372
         West  |   .0554289   .0530945     1.04   0.297    -.0488095    .1596674
               |
         educ2 |
      Diploma  |  -.1254691   .1173123    -1.07   0.285    -.3557841    .1048458
     Some col  |  -.0735627   .1144006    -0.64   0.520    -.2981613    .1510359
           BA  |   .0168771   .1143373     0.15   0.883    -.2075973    .2413514
  Adv. Degree  |   .0862026   .1109949     0.78   0.438    -.1317097     .304115
               |
         _cons |   .2016092   .1213893     1.66   0.097    -.0367101    .4399285
--------------------------------------------------------------------------------

. svy: reg medcarew10 resentx pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       765
Number of PSUs     =       765                  Population size    = 687.00316
                                                Design df          =       764
                                                F(  11,    754)    =     24.43
                                                Prob > F           =    0.0000
                                                R-squared          =    0.3023

--------------------------------------------------------------------------------
               |             Linearized
    medcarew10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .1068931   .0421038     2.54   0.011     .0242403    .1895459
         pidr2 |   .4823371    .056244     8.58   0.000      .371926    .5927481
        female |  -.0550237    .034626    -1.59   0.112    -.1229971    .0129496
           age |    .218061   .0844314     2.58   0.010     .0523158    .3838061
               |
        region |
North Central  |   .0188036   .0483274     0.39   0.697    -.0760668    .1136739
        South  |   .0165939   .0511626     0.32   0.746    -.0838421    .1170298
         West  |   .0471981   .0507573     0.93   0.353    -.0524422    .1468383
               |
         educ2 |
      Diploma  |  -.1263017    .094308    -1.34   0.181    -.3114353     .058832
     Some col  |  -.0721003   .0897302    -0.80   0.422    -.2482473    .1040466
           BA  |   .0350633   .0917291     0.38   0.702    -.1450078    .2151344
  Adv. Degree  |   .0900178    .089654     1.00   0.316    -.0859796    .2660153
               |
         _cons |   .2159918   .1015055     2.13   0.034      .016729    .4152545
--------------------------------------------------------------------------------

. svy: reg medcarew10 iat_d resentx pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       720
Number of PSUs     =       720                  Population size    = 641.40923
                                                Design df          =       719
                                                F(  12,    708)    =     21.39
                                                Prob > F           =    0.0000
                                                R-squared          =    0.3091

--------------------------------------------------------------------------------
               |             Linearized
    medcarew10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0021474    .038645     0.06   0.956     -.073723    .0780178
       resentx |   .1026617   .0425997     2.41   0.016      .019027    .1862964
         pidr2 |   .4990399   .0573617     8.70   0.000     .3864234    .6116565
        female |  -.0477867   .0355422    -1.34   0.179    -.1175655    .0219921
           age |   .1948457   .0903077     2.16   0.031     .0175474    .3721441
               |
        region |
North Central  |   .0209175   .0514201     0.41   0.684     -.080034     .121869
        South  |   .0266301   .0527819     0.50   0.614    -.0769951    .1302552
         West  |   .0562426   .0517865     1.09   0.278    -.0454281    .1579134
               |
         educ2 |
      Diploma  |  -.1442266   .1124868    -1.28   0.200    -.3650685    .0766152
     Some col  |  -.0962056   .1090859    -0.88   0.378    -.3103706    .1179594
           BA  |   .0089747   .1096598     0.08   0.935    -.2063169    .2242663
  Adv. Degree  |     .08382   .1066132     0.79   0.432    -.1254904    .2931304
               |
         _cons |    .226942   .1159977     1.96   0.051    -.0007926    .4546767
--------------------------------------------------------------------------------

. 
. * Table 6 - Approval of Obama (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg obdisapw19 iat_d obsupsum pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1424
Number of PSUs     =      1424                  Population size    = 1287.0262
                                                Design df          =      1423
                                                F(  12,   1412)    =    174.55
                                                Prob > F           =    0.0000
                                                R-squared          =    0.6206

--------------------------------------------------------------------------------
               |             Linearized
    obdisapw19 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0121826   .0156141    -0.78   0.435    -.0428116    .0184465
      obsupsum |  -.5414069   .0335354   -16.14   0.000     -.607191   -.4756229
         pidr2 |   .3003389    .032441     9.26   0.000     .2367015    .3639763
        female |  -.0184053   .0151825    -1.21   0.226    -.0481877    .0113772
           age |  -.0173837   .0386033    -0.45   0.653    -.0931091    .0583418
               |
        region |
North Central  |     .04913   .0231357     2.12   0.034     .0037464    .0945137
        South  |   .0173783   .0233519     0.74   0.457    -.0284295    .0631861
         West  |   .0374995   .0244461     1.53   0.125    -.0104548    .0854539
               |
         educ2 |
      Diploma  |  -.0890093   .0396122    -2.25   0.025    -.1667138   -.0113048
     Some col  |  -.0982665   .0380276    -2.58   0.010    -.1728626   -.0236704
           BA  |  -.0746385   .0382058    -1.95   0.051    -.1495841    .0003072
  Adv. Degree  |  -.0834821     .03888    -2.15   0.032    -.1597504   -.0072137
               |
         _cons |   .7165648   .0554797    12.92   0.000      .607734    .8253956
--------------------------------------------------------------------------------

. svy: reg obdisapw19 resentx obsupsum pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1504
Number of PSUs     =      1504                  Population size    = 1365.5594
                                                Design df          =      1503
                                                F(  12,   1492)    =    193.44
                                                Prob > F           =    0.0000
                                                R-squared          =    0.6237

--------------------------------------------------------------------------------
               |             Linearized
    obdisapw19 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .0615727   .0196671     3.13   0.002     .0229949    .1001505
      obsupsum |  -.5150238   .0341641   -15.07   0.000    -.5820382   -.4480095
         pidr2 |   .2875351   .0306695     9.38   0.000     .2273756    .3476946
        female |   -.011308   .0153636    -0.74   0.462    -.0414443    .0188283
           age |   -.020875   .0383131    -0.54   0.586    -.0960277    .0542778
               |
        region |
North Central  |   .0473305   .0223866     2.11   0.035     .0034183    .0912428
        South  |   .0079325    .022718     0.35   0.727    -.0366298    .0524947
         West  |   .0349908   .0233565     1.50   0.134    -.0108241    .0808056
               |
         educ2 |
      Diploma  |   -.081018    .039879    -2.03   0.042    -.1592424   -.0027935
     Some col  |  -.0916943   .0379816    -2.41   0.016    -.1661968   -.0171919
           BA  |  -.0628651   .0377069    -1.67   0.096    -.1368288    .0110985
  Adv. Degree  |  -.0599168   .0383684    -1.56   0.119    -.1351781    .0153444
               |
         _cons |   .6846035   .0532577    12.85   0.000     .5801362    .7890708
--------------------------------------------------------------------------------

. svy: reg obdisapw19 iat_d resentx obsupsum pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1417
Number of PSUs     =      1417                  Population size    = 1282.5764
                                                Design df          =      1416
                                                F(  13,   1404)    =    170.47
                                                Prob > F           =    0.0000
                                                R-squared          =    0.6264

--------------------------------------------------------------------------------
               |             Linearized
    obdisapw19 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0196089   .0156753    -1.25   0.211    -.0503582    .0111405
       resentx |   .0676173   .0193268     3.50   0.000     .0297051    .1055295
      obsupsum |  -.5175084   .0349842   -14.79   0.000    -.5861347    -.448882
         pidr2 |   .2809795   .0313771     8.95   0.000     .2194289    .3425302
        female |  -.0148198   .0154442    -0.96   0.337    -.0451158    .0154762
           age |  -.0142052   .0390704    -0.36   0.716    -.0908473     .062437
               |
        region |
North Central  |   .0474676   .0226761     2.09   0.037     .0029853    .0919499
        South  |    .012159   .0230526     0.53   0.598    -.0330619      .05738
         West  |   .0387231   .0240912     1.61   0.108    -.0085352    .0859813
               |
         educ2 |
      Diploma  |  -.0971649   .0387574    -2.51   0.012     -.173193   -.0211369
     Some col  |   -.109172   .0370507    -2.95   0.003    -.1818522   -.0364917
           BA  |  -.0770763    .036928    -2.09   0.037    -.1495158   -.0046369
  Adv. Degree  |  -.0785498   .0373015    -2.11   0.035     -.151722   -.0053776
               |
         _cons |   .7048796   .0544186    12.95   0.000     .5981299    .8116293
--------------------------------------------------------------------------------

. 
. * Table 7 - Obama as Muslim (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: probit obmuslimw11 iat_d knowlsum pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1333
Number of PSUs     =      1333                  Population size    = 1197.8573
                                                Design df          =      1332
                                                F(  12,   1321)    =      9.32
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
   obmuslimw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .1515214   .1153771     1.31   0.189    -.0748193    .3778621
      knowlsum |  -1.701223   .2561146    -6.64   0.000    -2.203655   -1.198791
         pidr2 |   .7199527   .1587835     4.53   0.000     .4084597    1.031446
        female |  -.1964566   .1154605    -1.70   0.089    -.4229609    .0300476
           age |  -.2290095   .2916864    -0.79   0.433    -.8012242    .3432053
               |
        region |
North Central  |  -.0683168    .164058    -0.42   0.677     -.390157    .2535233
        South  |  -.2479005   .1619359    -1.53   0.126    -.5655777    .0697767
         West  |  -.3529693   .1954129    -1.81   0.071    -.7363199    .0303813
               |
         educ2 |
      Diploma  |   .3338861   .2941928     1.13   0.257    -.2432457    .9110179
     Some col  |   .1300118   .2862367     0.45   0.650     -.431512    .6915356
           BA  |  -.0410321   .2940211    -0.14   0.889     -.617827    .5357629
  Adv. Degree  |  -.3665455   .3041194    -1.21   0.228    -.9631507    .2300596
               |
         _cons |   .2391369   .3657692     0.65   0.513    -.4784095    .9566833
--------------------------------------------------------------------------------

. svy: probit obmuslimw11 resentx knowlsum pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1411
Number of PSUs     =      1411                  Population size    = 1273.1846
                                                Design df          =      1410
                                                F(  12,   1399)    =     10.17
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
   obmuslimw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
       resentx |   .3576273   .1282026     2.79   0.005     .1061389    .6091157
      knowlsum |  -1.627519   .2503662    -6.50   0.000     -2.11865   -1.136389
         pidr2 |   .5980279   .1627329     3.67   0.000     .2788032    .9172526
        female |  -.1767131   .1142337    -1.55   0.122    -.4007994    .0473732
           age |  -.2275267   .2826622    -0.80   0.421    -.7820104     .326957
               |
        region |
North Central  |  -.0854381   .1607757    -0.53   0.595    -.4008233    .2299472
        South  |  -.2843162   .1585057    -1.79   0.073    -.5952486    .0266163
         West  |  -.3374392   .1857004    -1.82   0.069    -.7017181    .0268396
               |
         educ2 |
      Diploma  |   .3572747   .2717507     1.31   0.189    -.1758045     .890354
     Some col  |   .1479733    .262181     0.56   0.573    -.3663334    .6622801
           BA  |   .0251988   .2716894     0.09   0.926      -.50776    .5581577
  Adv. Degree  |  -.2768818   .2822506    -0.98   0.327    -.8305581    .2767945
               |
         _cons |   .1470822   .3439586     0.43   0.669    -.5276434    .8218077
--------------------------------------------------------------------------------

. svy: probit obmuslimw11 iat_d resentx knowlsum pidr2 female age i.region i.educ2 if white=
> =1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1328
Number of PSUs     =      1328                  Population size    = 1194.7514
                                                Design df          =      1327
                                                F(  13,   1315)    =      8.98
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
   obmuslimw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .1032247   .1170372     0.88   0.378    -.1263734    .3328229
       resentx |   .3882959   .1323024     2.93   0.003     .1287513    .6478405
      knowlsum |  -1.664887   .2578381    -6.46   0.000    -2.170702   -1.159072
         pidr2 |   .5481095   .1688633     3.25   0.001     .2168414    .8793775
        female |  -.1712919   .1175555    -1.46   0.145    -.4019068    .0593229
           age |  -.2215264   .2987245    -0.74   0.458    -.8075502    .3644975
               |
        region |
North Central  |   -.080368   .1660211    -0.48   0.628    -.4060604    .2453244
        South  |  -.2859709   .1629299    -1.76   0.079    -.6055992    .0336575
         West  |  -.3451164   .1986403    -1.74   0.083    -.7347996    .0445668
               |
         educ2 |
      Diploma  |   .3108593   .2965189     1.05   0.295    -.2708376    .8925562
     Some col  |   .0947329   .2880747     0.33   0.742    -.4703985    .6598643
           BA  |  -.0457504   .2965952    -0.15   0.877    -.6275969    .5360962
  Adv. Degree  |  -.3377942   .3065146    -1.10   0.271    -.9391003    .2635119
               |
         _cons |   .2303626    .366411     0.63   0.530    -.4884453    .9491705
--------------------------------------------------------------------------------

. 
. * Table 2S (XS)
. use "xs_working.dta", clear

. svyset [pw=postweight]

      pweight: postweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: probit mcvote wbdif2 pidr  female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       827
Number of PSUs     =       827                  Population size    = 1083.9579
                                                Design df          =       826
                                                F(  11,    816)    =     21.62
                                                Prob > F           =    0.0000

-------------------------------------------------------------------------------
              |             Linearized
       mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .1170781   .2446629     0.48   0.632     -.363156    .5973122
         pidr |    3.91046   .2774712    14.09   0.000     3.365828    4.455092
       female |   .0203359   .1433254     0.14   0.887    -.2609889    .3016608
          age |   .7105321    .312506     2.27   0.023     .0971329    1.323931
              |
       region |
           1  |   .1219383   .2292894     0.53   0.595    -.3281201    .5719967
           2  |    .282189   .2292009     1.23   0.219    -.1676958    .7320737
           3  |   -.186322   .2201195    -0.85   0.398    -.6183814    .2457375
              |
         educ |
Diploma only  |   .4316579     .37514     1.15   0.250    -.3046819    1.167998
Some college  |   .4665418   .3709735     1.26   0.209    -.2616199    1.194704
          BA  |   .5243082   .3864522     1.36   0.175    -.2342357    1.282852
  Adv. Degre  |   .4465885      .4218     1.06   0.290    -.3813374    1.274514
              |
        _cons |  -2.761073   .4598495    -6.00   0.000    -3.663684   -1.858462
-------------------------------------------------------------------------------

. svy: probit mcvote stereo2 pidr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       857
Number of PSUs     =       857                  Population size    = 1130.1517
                                                Design df          =       856
                                                F(  11,    846)    =     23.41
                                                Prob > F           =    0.0000

-------------------------------------------------------------------------------
              |             Linearized
       mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      stereo2 |   .9310858   .3966497     2.35   0.019     .1525658    1.709606
         pidr |   3.910396   .2632448    14.85   0.000     3.393715    4.427077
       female |   .0915819   .1437816     0.64   0.524    -.1906238    .3737876
          age |   .9050989      .2947     3.07   0.002     .3266797    1.483518
              |
       region |
           1  |   .1309783   .2167654     0.60   0.546    -.2944757    .5564323
           2  |   .4012694   .2138143     1.88   0.061    -.0183923    .8209312
           3  |  -.0705217    .207622    -0.34   0.734    -.4780296    .3369863
              |
         educ |
Diploma only  |   .8182465    .275024     2.98   0.003      .278446    1.358047
Some college  |   .7841095   .2822913     2.78   0.006     .2300454    1.338174
          BA  |   .8823402   .3082583     2.86   0.004     .2773096    1.487371
  Adv. Degre  |    .709642    .338563     2.10   0.036     .0451312    1.374153
              |
        _cons |  -3.396444   .4011103    -8.47   0.000    -4.183719   -2.609169
-------------------------------------------------------------------------------

. svy: probit mcvote wbdif2 stereo2 pidr  female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       797
Number of PSUs     =       797                  Population size    = 1039.2823
                                                Design df          =       796
                                                F(  12,    785)    =     19.56
                                                Prob > F           =    0.0000

-------------------------------------------------------------------------------
              |             Linearized
       mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |  -.1626124   .2496083    -0.65   0.515    -.6525807    .3273559
      stereo2 |   1.172601   .4144816     2.83   0.005     .3589948    1.986207
         pidr |   3.986949   .2867751    13.90   0.000     3.424024    4.549873
       female |   .0958626   .1481998     0.65   0.518     -.195046    .3867712
          age |   .7339966   .3306718     2.22   0.027     .0849048    1.383088
              |
       region |
           1  |   .0985993   .2245735     0.44   0.661    -.3422269    .5394254
           2  |   .2590445   .2252293     1.15   0.250    -.1830691    .7011582
           3  |  -.1541265    .219562    -0.70   0.483    -.5851154    .2768625
              |
         educ |
Diploma only  |   .7916099   .3343356     2.37   0.018     .1353261    1.447894
Some college  |   .8359849   .3389731     2.47   0.014     .1705981    1.501372
          BA  |    .910274   .3614786     2.52   0.012       .20071    1.619838
  Adv. Degre  |   .6696307    .386383     1.73   0.083    -.0888193    1.428081
              |
        _cons |  -3.337449   .4467901    -7.47   0.000    -4.214475   -2.460423
-------------------------------------------------------------------------------

. 
. * Table 2S (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: probit mcvote iat_d pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1253
Number of PSUs     =      1253                  Population size    = 1064.1333
                                                Design df          =      1252
                                                F(  11,   1242)    =     29.62
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
        mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0899884   .1459629     0.62   0.538    -.1963705    .3763473
         pidr2 |   3.904638   .2225001    17.55   0.000     3.468124    4.341153
        female |  -.0064058   .1334536    -0.05   0.962    -.2682231    .2554114
           age |   .3117713   .3175612     0.98   0.326    -.3112395    .9347821
               |
        region |
North Central  |    -.03452   .2041738    -0.17   0.866    -.4350806    .3660405
        South  |   .3045281    .206001     1.48   0.140    -.0996172    .7086734
         West  |  -.0855788   .2057742    -0.42   0.678     -.489279    .3181214
               |
         educ2 |
      Diploma  |    .308145   .3393148     0.91   0.364    -.3575433    .9738334
     Some col  |  -.1117142    .316406    -0.35   0.724    -.7324587    .5090303
           BA  |  -.4496423    .312833    -1.44   0.151    -1.063377    .1640923
  Adv. Degree  |  -.3128068    .318585    -0.98   0.326    -.9378262    .3122126
               |
         _cons |  -1.833527   .3820058    -4.80   0.000     -2.58297   -1.084085
--------------------------------------------------------------------------------

. svy: probit mcvote stereodif pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1329
Number of PSUs     =      1329                  Population size    = 1134.7188
                                                Design df          =      1328
                                                F(  11,   1318)    =     31.51
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
        mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .9504698   .5355969     1.77   0.076    -.1002384    2.001178
         pidr2 |   3.908857   .2155127    18.14   0.000     3.486074     4.33164
        female |   .0186407   .1319331     0.14   0.888    -.2401794    .2774608
           age |   .2797594   .3095033     0.90   0.366    -.3274092     .886928
               |
        region |
North Central  |  -.0073414   .2006464    -0.04   0.971    -.4009599    .3862772
        South  |   .3721184   .2055966     1.81   0.071    -.0312111    .7754478
         West  |  -.0458103   .2040318    -0.22   0.822    -.4460702    .3544495
               |
         educ2 |
      Diploma  |   .3857989   .2939077     1.31   0.190     -.190775    .9623728
     Some col  |  -.0678958   .2731886    -0.25   0.804    -.6038241    .4680326
           BA  |  -.3338247   .2702306    -1.24   0.217    -.8639501    .1963006
  Adv. Degree  |  -.1403454   .2747869    -0.51   0.610    -.6794091    .3987183
               |
         _cons |  -1.987652   .3690374    -5.39   0.000    -2.711612   -1.263693
--------------------------------------------------------------------------------

. svy: probit mcvote iat_d stereodif pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1245
Number of PSUs     =      1245                  Population size    = 1058.2547
                                                Design df          =      1244
                                                F(  12,   1233)    =     25.85
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
        mcvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0280332   .1470315     0.19   0.849     -.260424    .3164904
     stereodif |   1.163434   .5853929     1.99   0.047     .0149676      2.3119
         pidr2 |   3.894797   .2272491    17.14   0.000     3.448963    4.340631
        female |    .025839   .1382276     0.19   0.852    -.2453459    .2970239
           age |   .3340447   .3260176     1.02   0.306    -.3055603    .9736498
               |
        region |
North Central  |   -.061631   .2067892    -0.30   0.766    -.4673251     .344063
        South  |   .3064802   .2118377     1.45   0.148    -.1091184    .7220789
         West  |  -.0701605   .2154851    -0.33   0.745    -.4929148    .3525938
               |
         educ2 |
      Diploma  |   .2977944   .3315334     0.90   0.369    -.3526318    .9482207
     Some col  |  -.1570864   .3117952    -0.50   0.614    -.7687889    .4546162
           BA  |  -.4492395   .3055925    -1.47   0.142    -1.048773     .150294
  Adv. Degree  |  -.2986106    .312973    -0.95   0.340    -.9126238    .3154027
               |
         _cons |  -1.869771   .3978479    -4.70   0.000    -2.650298   -1.089244
--------------------------------------------------------------------------------

. 
. * Table 3S (XS)
. use "xs_working.dta", clear

. svyset [pw=preweight]

      pweight: preweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. drop if V083098x==4 | V083098x==5 | V083098x==6 
(653 observations deleted)

. svy: probit primvote wbdif2 pidstr female age i.region i.educ  if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       206
Number of PSUs     =       206                  Population size    =  311.8877
                                                Design df          =       205
                                                F(  11,    195)    =      2.15
                                                Prob > F           =    0.0189

-------------------------------------------------------------------------------
              |             Linearized
     primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0971891   .3740781     0.26   0.795    -.6403445    .8347227
       pidstr |  -.5412344   .3315778    -1.63   0.104    -1.194974    .1125056
       female |  -.0338492   .2064936    -0.16   0.870    -.4409728    .3732743
          age |   .0364179   .4993101     0.07   0.942    -.9480237     1.02086
              |
       region |
           1  |  -.7891886   .3599109    -2.19   0.029     -1.49879    -.079587
           2  |  -.3486968   .3504846    -0.99   0.321    -1.039714    .3423198
           3  |    -1.1067   .3583987    -3.09   0.002    -1.813321   -.4000802
              |
         educ |
Diploma only  |  -.8827237   .5036277    -1.75   0.081    -1.875678    .1102303
Some college  |  -.9525459   .5071801    -1.88   0.062    -1.952504    .0474122
          BA  |  -1.128766   .5181653    -2.18   0.031    -2.150383   -.1071498
  Adv. Degre  |  -1.297645   .5577835    -2.33   0.021    -2.397373   -.1979168
              |
        _cons |   2.273045   .6602753     3.44   0.001     .9712441    3.574846
-------------------------------------------------------------------------------

. svy: probit primvote stereo2 pidstr female age i.region i.educ if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       229
Number of PSUs     =       229                  Population size    =  349.3639
                                                Design df          =       228
                                                F(  11,    218)    =      2.40
                                                Prob > F           =    0.0079

-------------------------------------------------------------------------------
              |             Linearized
     primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      stereo2 |   .3070192   .5874861     0.52   0.602     -.850577    1.464615
       pidstr |  -.5349694   .3163618    -1.69   0.092    -1.158336    .0883971
       female |  -.1357377   .1937025    -0.70   0.484    -.5174135    .2459382
          age |   .0798312   .4735949     0.17   0.866    -.8533511    1.013014
              |
       region |
           1  |  -.7034115   .3302469    -2.13   0.034    -1.354138   -.0526854
           2  |  -.2315645   .3166833    -0.73   0.465    -.8555646    .3924357
           3  |  -1.079046    .324336    -3.33   0.001    -1.718125    -.439967
              |
         educ |
Diploma only  |  -.5021359   .4757572    -1.06   0.292    -1.439579    .4353071
Some college  |  -.5546199   .4965097    -1.12   0.265    -1.532954    .4237143
          BA  |  -.6695661   .4999231    -1.34   0.182    -1.654626     .315494
  Adv. Degre  |  -.9015156   .5248677    -1.72   0.087    -1.935727     .132696
              |
        _cons |    1.85344   .6423951     2.89   0.004     .5876495     3.11923
-------------------------------------------------------------------------------

. svy: probit primvote wbdif2 stereo2 pidstr female age i.region i.educ  if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       198
Number of PSUs     =       198                  Population size    =  301.1363
                                                Design df          =       197
                                                F(  12,    186)    =      1.91
                                                Prob > F           =    0.0355

-------------------------------------------------------------------------------
              |             Linearized
     primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |  -.0132471   .4104209    -0.03   0.974    -.8226295    .7961352
      stereo2 |  -.0525391   .7395889    -0.07   0.943    -1.511067    1.405989
       pidstr |  -.5929274   .3407944    -1.74   0.083    -1.265001     .079146
       female |  -.0304104   .2101403    -0.14   0.885    -.4448238    .3840029
          age |   .0845471   .5085028     0.17   0.868    -.9182607    1.087355
              |
       region |
           1  |  -.7395188   .3703278    -2.00   0.047    -1.469834   -.0092031
           2  |  -.2335026   .3624669    -0.64   0.520    -.9483159    .4813108
           3  |  -1.046174   .3697751    -2.83   0.005      -1.7754   -.3169488
              |
         educ |
Diploma only  |  -.7992176     .52369    -1.53   0.129    -1.831976    .2335405
Some college  |  -.9398646   .5181616    -1.81   0.071     -1.96172    .0819911
          BA  |  -1.082243   .5289319    -2.05   0.042    -2.125339   -.0391473
  Adv. Degre  |  -1.275703   .5650099    -2.26   0.025    -2.389947   -.1614587
              |
        _cons |   2.202739   .6783647     3.25   0.001     .8649506    3.540528
-------------------------------------------------------------------------------

. 
. * Table 3S (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. drop if pidr==3 | pidr==4
(1270 observations deleted)

. svy: probit primvote iat_d pidstr female age i.region i.educ2 if white==1
(running probit on estimation sample)

note: 0b.educ2 != 0 predicts success perfectly
      0b.educ2 dropped and 6 obs not used
note: 4.educ2 omitted because of collinearity

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       418
Number of PSUs     =       418                  Population size    = 308.21101
                                                Design df          =       417
                                                F(  10,    408)    =      1.96
                                                Prob > F           =    0.0366

--------------------------------------------------------------------------------
               |             Linearized
      primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0481803   .1841028     0.26   0.794    -.3137049    .4100654
        pidstr |  -.1288607   .2424205    -0.53   0.595    -.6053792    .3476578
        female |  -.0783329   .1754125    -0.45   0.655    -.4231359    .2664701
           age |  -.1595734   .4526054    -0.35   0.725    -1.049246     .730099
               |
        region |
North Central  |  -.1319285   .2334359    -0.57   0.572    -.5907862    .3269291
        South  |   .2014946   .2611302     0.77   0.441    -.3118009    .7147901
         West  |  -.4644621   .2645875    -1.76   0.080    -.9845535    .0556294
               |
         educ2 |
        No HS  |          0  (empty)
      Diploma  |    .266201   .2550845     1.04   0.297    -.2352107    .7676127
     Some col  |   .4249962   .2177468     1.95   0.052    -.0030221    .8530144
           BA  |   -.128741   .1957106    -0.66   0.511    -.5134432    .2559612
  Adv. Degree  |          0  (omitted)
               |
         _cons |   .5238398   .3632716     1.44   0.150    -.1902321    1.237912
--------------------------------------------------------------------------------

. svy: probit primvote stereodif pidstr female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       447
Number of PSUs     =       447                  Population size    =  345.3066
                                                Design df          =       446
                                                F(  11,    436)    =      2.91
                                                Prob > F           =    0.0010

--------------------------------------------------------------------------------
               |             Linearized
      primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   1.227353   .6417881     1.91   0.056    -.0339512    2.488657
        pidstr |  -.2291133   .2396813    -0.96   0.340    -.7001582    .2419317
        female |   -.143418   .1701525    -0.84   0.400    -.4778182    .1909823
           age |   .4083772    .470637     0.87   0.386    -.5165643    1.333319
               |
        region |
North Central  |  -.0830698    .236227    -0.35   0.725     -.547326    .3811865
        South  |   .2636222    .257113     1.03   0.306    -.2416812    .7689256
         West  |  -.4440132   .2539496    -1.75   0.081    -.9430997    .0550733
               |
         educ2 |
      Diploma  |  -.2791489   .5669038    -0.49   0.623    -1.393283    .8349855
     Some col  |  -.1589635     .57418    -0.28   0.782    -1.287398    .9694708
           BA  |  -.6185063   .5858427    -1.06   0.292    -1.769861    .5328486
  Adv. Degree  |  -.6526667   .5579174    -1.17   0.243     -1.74914    .4438068
               |
         _cons |   .8993363   .7236134     1.24   0.215    -.5227791    2.321452
--------------------------------------------------------------------------------

. svy: probit primvote iat_d stereodif pidstr female age i.region i.educ2 if white==1
(running probit on estimation sample)

note: 0b.educ2 != 0 predicts success perfectly
      0b.educ2 dropped and 6 obs not used
note: 4.educ2 omitted because of collinearity

Survey: Probit regression

Number of strata   =         1                  Number of obs      =       416
Number of PSUs     =       416                  Population size    = 305.93449
                                                Design df          =       415
                                                F(  11,    405)    =      2.47
                                                Prob > F           =    0.0054

--------------------------------------------------------------------------------
               |             Linearized
      primvote |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0353114   .1865451    -0.19   0.850    -.4020024    .3313796
     stereodif |   1.547301   .6474903     2.39   0.017     .2745317    2.820071
        pidstr |  -.2280435    .239198    -0.95   0.341    -.6982342    .2421472
        female |  -.0961027   .1740013    -0.55   0.581    -.4381364     .245931
           age |  -.2148012   .4465065    -0.48   0.631    -1.092498    .6628952
               |
        region |
North Central  |  -.2040675   .2334566    -0.87   0.383    -.6629725    .2548374
        South  |   .2231173    .258253     0.86   0.388    -.2845298    .7307644
         West  |  -.4003255   .2565919    -1.56   0.119    -.9047073    .1040563
               |
         educ2 |
        No HS  |          0  (empty)
      Diploma  |   .2740484   .2557082     1.07   0.284    -.2285964    .7766933
     Some col  |   .3589964   .2267458     1.58   0.114    -.0867171      .80471
           BA  |  -.1769153   .1976246    -0.90   0.371    -.5653854    .2115547
  Adv. Degree  |          0  (omitted)
               |
         _cons |   .6865091   .3688946     1.86   0.063    -.0386258    1.411644
--------------------------------------------------------------------------------

. 
. * Table 4S (XS)
. use "xs_working.dta", clear

. svyset [pw=postweight]

      pweight: postweight
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg govassist wbdif2 pidr female age i.region i.educ  if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       938
Number of PSUs     =       938                  Population size    =  1235.274
                                                Design df          =       937
                                                F(  11,    927)    =     14.23
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1758

-------------------------------------------------------------------------------
              |             Linearized
    govassist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0869808    .030386     2.86   0.004     .0273482    .1466133
         pidr |   .2517398   .0321911     7.82   0.000     .1885649    .3149148
       female |  -.0329969   .0196221    -1.68   0.093    -.0715051    .0055114
          age |  -.0394746   .0450231    -0.88   0.381    -.1278324    .0488832
              |
       region |
           1  |   .0118842   .0356435     0.33   0.739    -.0580661    .0818345
           2  |   .0463355   .0306376     1.51   0.131    -.0137908    .1064618
           3  |  -.0591623   .0332411    -1.78   0.075     -.124398    .0060734
              |
         educ |
Diploma only  |   .0349081   .0586375     0.60   0.552    -.0801679     .149984
Some college  |  -.0115556    .058969    -0.20   0.845    -.1272823     .104171
          BA  |  -.0223681   .0604555    -0.37   0.711    -.1410119    .0962758
  Adv. Degre  |  -.0549741   .0611907    -0.90   0.369    -.1750608    .0651127
              |
        _cons |   .5670059   .0620676     9.14   0.000     .4451982    .6888136
-------------------------------------------------------------------------------

. svy: reg govassist stereo2 pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       970
Number of PSUs     =       970                  Population size    = 1279.7749
                                                Design df          =       969
                                                F(  11,    959)    =     15.16
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1823

-------------------------------------------------------------------------------
              |             Linearized
    govassist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      stereo2 |    .191299   .0443065     4.32   0.000     .1043512    .2782468
         pidr |   .2412666   .0310895     7.76   0.000     .1802562     .302277
       female |  -.0191078   .0191287    -1.00   0.318    -.0566463    .0184307
          age |  -.0310565    .043413    -0.72   0.475    -.1162508    .0541379
              |
       region |
           1  |   .0118693   .0358636     0.33   0.741      -.05851    .0822487
           2  |   .0561388   .0309513     1.81   0.070    -.0046004     .116878
           3  |  -.0510349   .0330803    -1.54   0.123    -.1159523    .0138824
              |
         educ |
Diploma only  |   .0243065     .05572     0.44   0.663    -.0850392    .1336523
Some college  |   -.026084   .0562818    -0.46   0.643    -.1365323    .0843643
          BA  |  -.0441135   .0580061    -0.76   0.447    -.1579455    .0697185
  Adv. Degre  |  -.0556877   .0589421    -0.94   0.345    -.1713566    .0599812
              |
        _cons |   .5578615   .0611737     9.12   0.000     .4378134    .6779097
-------------------------------------------------------------------------------

. svy: reg govassist wbdif2 stereo2 pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       908
Number of PSUs     =       908                  Population size    = 1188.0858
                                                Design df          =       907
                                                F(  12,    896)    =     13.64
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1924

-------------------------------------------------------------------------------
              |             Linearized
    govassist |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0612025   .0324267     1.89   0.059    -.0024376    .1248426
      stereo2 |   .1804533   .0508841     3.55   0.000      .080589    .2803176
         pidr |   .2415617   .0326672     7.39   0.000     .1774495    .3056738
       female |  -.0268142    .019946    -1.34   0.179    -.0659598    .0123314
          age |  -.0524153   .0453297    -1.16   0.248    -.1413786     .036548
              |
       region |
           1  |   .0092181   .0367028     0.25   0.802    -.0628141    .0812504
           2  |    .040891   .0320242     1.28   0.202    -.0219593    .1037412
           3  |  -.0575821   .0344721    -1.67   0.095    -.1252365    .0100722
              |
         educ |
Diploma only  |   .0413032   .0615521     0.67   0.502    -.0794979    .1621043
Some college  |   .0020933   .0621719     0.03   0.973    -.1199243    .1241108
          BA  |  -.0094814   .0638662    -0.15   0.882     -.134824    .1158613
  Adv. Degre  |  -.0406759    .064471    -0.63   0.528    -.1672057    .0858539
              |
        _cons |   .5419938   .0646478     8.38   0.000     .4151171    .6688705
-------------------------------------------------------------------------------

. 
. svy: reg hireblacks wbdif2 pidr female age i.region i.educ  if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       998
Number of PSUs     =       998                  Population size    = 1335.8689
                                                Design df          =       997
                                                F(  11,    987)    =      6.21
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1033

-------------------------------------------------------------------------------
              |             Linearized
   hireblacks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0863305   .0327651     2.63   0.009     .0220341    .1506269
         pidr |   .1689386   .0300496     5.62   0.000     .1099709    .2279063
       female |  -.0093134   .0185312    -0.50   0.615    -.0456781    .0270513
          age |   .0845738   .0456048     1.85   0.064    -.0049186    .1740662
              |
       region |
           1  |   .0555034   .0388488     1.43   0.153    -.0207314    .1317381
           2  |   .0796135   .0344676     2.31   0.021     .0119762    .1472509
           3  |    .027872   .0376967     0.74   0.460     -.046102     .101846
              |
         educ |
Diploma only  |   .0826048   .0589132     1.40   0.161    -.0330033    .1982129
Some college  |   .1278653   .0589997     2.17   0.030     .0120874    .2436432
          BA  |   .0935826   .0622883     1.50   0.133    -.0286486    .2158138
  Adv. Degre  |   .0868442   .0658664     1.32   0.188    -.0424085     .216097
              |
        _cons |   .5673815   .0755913     7.51   0.000     .4190453    .7157177
-------------------------------------------------------------------------------

. svy: reg hireblacks stereo2 pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1031
Number of PSUs     =      1031                  Population size    = 1382.1679
                                                Design df          =      1030
                                                F(  11,   1020)    =      6.36
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1035

-------------------------------------------------------------------------------
              |             Linearized
   hireblacks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
      stereo2 |   .1025125   .0420802     2.44   0.015     .0199397    .1850852
         pidr |   .1857385   .0304991     6.09   0.000     .1258911    .2455859
       female |  -.0000407   .0187021    -0.00   0.998    -.0367393    .0366579
          age |   .0549288   .0455258     1.21   0.228    -.0344051    .1442627
              |
       region |
           1  |   .0621644   .0388415     1.60   0.110     -.014053    .1383818
           2  |   .0729287   .0343762     2.12   0.034     .0054733    .1403842
           3  |   .0196026   .0373552     0.52   0.600    -.0536983    .0929036
              |
         educ |
Diploma only  |   .1014023   .0560151     1.81   0.071    -.0085145    .2113191
Some college  |   .1435882   .0555883     2.58   0.010      .034509    .2526673
          BA  |   .1069986   .0587884     1.82   0.069      -.00836    .2223573
  Adv. Degre  |   .1065167   .0619774     1.72   0.086    -.0150998    .2281332
              |
        _cons |   .5503597   .0729013     7.55   0.000     .4073076    .6934117
-------------------------------------------------------------------------------

. svy: reg hireblacks wbdif2 stereo2 pidr female age i.region i.educ if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       962
Number of PSUs     =       962                  Population size    = 1282.5319
                                                Design df          =       961
                                                F(  12,    950)    =      5.61
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1078

-------------------------------------------------------------------------------
              |             Linearized
   hireblacks |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
--------------+----------------------------------------------------------------
       wbdif2 |   .0867744   .0342379     2.53   0.011     .0195849     .153964
      stereo2 |   .0424521   .0437977     0.97   0.333     -.043498    .1284023
         pidr |   .1602028   .0302763     5.29   0.000     .1007874    .2196181
       female |  -.0051668   .0188054    -0.27   0.784    -.0420712    .0317375
          age |   .0942218   .0466153     2.02   0.044     .0027422    .1857014
              |
       region |
           1  |   .0624895   .0395203     1.58   0.114    -.0150666    .1400456
           2  |    .091999   .0353187     2.60   0.009     .0226884    .1613097
           3  |   .0325552   .0386772     0.84   0.400    -.0433464    .1084568
              |
         educ |
Diploma only  |   .0736686   .0586446     1.26   0.209    -.0414176    .1887549
Some college  |   .1164134    .058681     1.98   0.048     .0012557    .2315711
          BA  |   .0780757   .0622659     1.25   0.210     -.044117    .2002685
  Adv. Degre  |   .0673204   .0659365     1.02   0.308    -.0620758    .1967167
              |
        _cons |   .5621021   .0774128     7.26   0.000     .4101845    .7140197
-------------------------------------------------------------------------------

. 
. * Table 4S (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg fairjobw11 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1423
Number of PSUs     =      1423                  Population size    =  1286.393
                                                Design df          =      1422
                                                F(  11,   1412)    =      5.44
                                                Prob > F           =    0.0000
                                                R-squared          =    0.0672

--------------------------------------------------------------------------------
               |             Linearized
    fairjobw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0655295   .0271742     2.41   0.016     .0122237    .1188352
         pidr2 |   .2014081   .0354413     5.68   0.000     .1318853    .2709309
        female |   -.048026   .0246422    -1.95   0.052    -.0963651    .0003131
           age |  -.0625291   .0636969    -0.98   0.326    -.1874791    .0624209
               |
        region |
North Central  |  -.0125317    .034383    -0.36   0.716    -.0799786    .0549151
        South  |  -.0177592   .0337448    -0.53   0.599    -.0839541    .0484357
         West  |   .0024817   .0356488     0.07   0.945    -.0674482    .0724117
               |
         educ2 |
      Diploma  |   .0275471   .0853766     0.32   0.747    -.1399306    .1950248
     Some col  |   .0547337     .08346     0.66   0.512    -.1089843    .2184518
           BA  |   .0426595   .0839798     0.51   0.612     -.122078     .207397
  Adv. Degree  |   -.012952    .085226    -0.15   0.879    -.1801341    .1542302
               |
         _cons |   .3037181   .0869477     3.49   0.000     .1331587    .4742776
--------------------------------------------------------------------------------

. svy: reg fairjobw11 stereodif pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1498
Number of PSUs     =      1498                  Population size    = 1358.3655
                                                Design df          =      1497
                                                F(  11,   1487)    =      8.73
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1011

--------------------------------------------------------------------------------
               |             Linearized
    fairjobw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .4198657   .0819266     5.12   0.000     .2591626    .5805688
         pidr2 |   .1761019   .0342575     5.14   0.000     .1089041    .2432997
        female |  -.0426231   .0238714    -1.79   0.074     -.089448    .0042017
           age |  -.0672602   .0600228    -1.12   0.263    -.1849979    .0504776
               |
        region |
North Central  |  -.0129624   .0325075    -0.40   0.690    -.0767276    .0508027
        South  |  -.0231992   .0325086    -0.71   0.476    -.0869664     .040568
         West  |   .0071693   .0344863     0.21   0.835    -.0604772    .0748158
               |
         educ2 |
      Diploma  |   .0451531   .0700017     0.65   0.519    -.0921588     .182465
     Some col  |   .0706542   .0676509     1.04   0.296    -.0620465    .2033549
           BA  |   .0709511    .067827     1.05   0.296     -.062095    .2039971
  Adv. Degree  |   .0127865   .0688906     0.19   0.853    -.1223458    .1479189
               |
         _cons |   .2868837   .0712081     4.03   0.000     .1472055    .4265619
--------------------------------------------------------------------------------

. svy: reg fairjobw11 stereodif iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1411
Number of PSUs     =      1411                  Population size    = 1275.3825
                                                Design df          =      1410
                                                F(  12,   1399)    =      7.04
                                                Prob > F           =    0.0000
                                                R-squared          =    0.0972

--------------------------------------------------------------------------------
               |             Linearized
    fairjobw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .3896972   .0849455     4.59   0.000      .223064    .5563304
         iat_d |   .0471171   .0263944     1.79   0.074    -.0046595    .0988936
         pidr2 |    .170618   .0358846     4.75   0.000     .1002252    .2410109
        female |  -.0443131   .0244891    -1.81   0.071    -.0923521    .0037259
           age |  -.0795621   .0633738    -1.26   0.210    -.2038791     .044755
               |
        region |
North Central  |  -.0172468   .0331404    -0.52   0.603    -.0822566    .0477629
        South  |   -.016936   .0334655    -0.51   0.613    -.0825835    .0487116
         West  |   .0168734   .0359856     0.47   0.639    -.0537176    .0874645
               |
         educ2 |
      Diploma  |   .0078749    .081365     0.10   0.923    -.1517346    .1674845
     Some col  |   .0383088    .079303     0.48   0.629    -.1172558    .1938733
           BA  |   .0359399   .0796727     0.45   0.652    -.1203499    .1922297
  Adv. Degree  |  -.0159217   .0813543    -0.20   0.845    -.1755101    .1436668
               |
         _cons |   .3212146   .0805271     3.99   0.000     .1632488    .4791805
--------------------------------------------------------------------------------

. 
. svy: reg hiringw11 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1424
Number of PSUs     =      1424                  Population size    = 1286.9713
                                                Design df          =      1423
                                                F(  11,   1413)    =      7.38
                                                Prob > F           =    0.0000
                                                R-squared          =    0.0934

--------------------------------------------------------------------------------
               |             Linearized
     hiringw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |    .032006   .0193499     1.65   0.098    -.0059515    .0699634
         pidr2 |   .1807908   .0288482     6.27   0.000     .1242013    .2373803
        female |   -.050579   .0198632    -2.55   0.011    -.0895433   -.0116147
           age |   .0093959    .048884     0.19   0.848    -.0864966    .1052883
               |
        region |
North Central  |   .0118458   .0270122     0.44   0.661    -.0411422    .0648338
        South  |   .0455029   .0264787     1.72   0.086    -.0064386    .0974445
         West  |  -.0412701   .0343494    -1.20   0.230     -.108651    .0261108
               |
         educ2 |
      Diploma  |   .0302187   .0527187     0.57   0.567    -.0731959    .1336333
     Some col  |   .0672639   .0498321     1.35   0.177    -.0304884    .1650161
           BA  |   .0646311   .0507824     1.27   0.203    -.0349854    .1642476
  Adv. Degree  |   .0356877   .0516951     0.69   0.490    -.0657192    .1370945
               |
         _cons |   .6362962   .0567172    11.22   0.000     .5250378    .7475545
--------------------------------------------------------------------------------

. svy: reg hiringw11 stereodif pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1498
Number of PSUs     =      1498                  Population size    = 1358.6652
                                                Design df          =      1497
                                                F(  11,   1487)    =      8.78
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1216

--------------------------------------------------------------------------------
               |             Linearized
     hiringw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |    .261085    .064576     4.04   0.000     .1344159    .3877541
         pidr2 |   .1771303   .0284294     6.23   0.000     .1213646    .2328959
        female |  -.0498991    .019615    -2.54   0.011    -.0883749   -.0114234
           age |   .0191895   .0465738     0.41   0.680    -.0721673    .1105463
               |
        region |
North Central  |   .0097143   .0263651     0.37   0.713    -.0420021    .0614307
        South  |   .0289117   .0265371     1.09   0.276    -.0231421    .0809655
         West  |  -.0317294   .0313336    -1.01   0.311    -.0931918     .029733
               |
         educ2 |
      Diploma  |   .0488394   .0530809     0.92   0.358    -.0552814    .1529603
     Some col  |   .0821556   .0502253     1.64   0.102    -.0163639     .180675
           BA  |   .0843438   .0511497     1.65   0.099    -.0159888    .1846765
  Adv. Degree  |   .0494932    .051726     0.96   0.339    -.0519699    .1509563
               |
         _cons |   .6154292   .0560918    10.97   0.000     .5054023     .725456
--------------------------------------------------------------------------------

. svy: reg hiringw11 stereodif iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1411
Number of PSUs     =      1411                  Population size    = 1275.6822
                                                Design df          =      1410
                                                F(  12,   1399)    =      7.00
                                                Prob > F           =    0.0000
                                                R-squared          =    0.1126

--------------------------------------------------------------------------------
               |             Linearized
     hiringw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .2576967   .0670564     3.84   0.000     .1261556    .3892377
         iat_d |   .0174044   .0194331     0.90   0.371    -.0207165    .0555253
         pidr2 |   .1601092   .0286566     5.59   0.000     .1038951    .2163233
        female |  -.0466252   .0197779    -2.36   0.019    -.0854225   -.0078279
           age |  -.0080034    .048775    -0.16   0.870    -.1036828    .0876761
               |
        region |
North Central  |   .0049527   .0269767     0.18   0.854     -.047966    .0578715
        South  |   .0411423   .0262871     1.57   0.118    -.0104237    .0927083
         West  |  -.0346442   .0332632    -1.04   0.298    -.0998948    .0306065
               |
         educ2 |
      Diploma  |   .0165028   .0525206     0.31   0.753    -.0865241    .1195298
     Some col  |   .0588578   .0495551     1.19   0.235     -.038352    .1560676
           BA  |   .0581895   .0505427     1.15   0.250    -.0409576    .1573365
  Adv. Degree  |   .0343623   .0516675     0.67   0.506     -.066991    .1357157
               |
         _cons |   .6536158   .0551996    11.84   0.000     .5453336    .7618981
--------------------------------------------------------------------------------

. 
. * Table 5S (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. svy: reg medcarew1 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       788
Number of PSUs     =       788                  Population size    = 713.35363
                                                Design df          =       787
                                                F(  11,    777)    =     17.06
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2405

--------------------------------------------------------------------------------
               |             Linearized
     medcarew1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   -.001825   .0404464    -0.05   0.964    -.0812205    .0775705
         pidr2 |   .4650059   .0484483     9.60   0.000     .3699028    .5601091
        female |  -.0792197    .038854    -2.04   0.042    -.1554894     -.00295
           age |    .338456   .0963447     3.51   0.000     .1493331    .5275789
               |
        region |
North Central  |   .0772462   .0516763     1.49   0.135    -.0241935    .1786858
        South  |   .0590672   .0555218     1.06   0.288    -.0499212    .1680555
         West  |   .0849111   .0573814     1.48   0.139    -.0277277    .1975498
               |
         educ2 |
      Diploma  |  -.0997485   .1028864    -0.97   0.333    -.3017126    .1022157
     Some col  |  -.0008425   .0966099    -0.01   0.993    -.1904862    .1888011
           BA  |   .0526893   .1000318     0.53   0.599    -.1436715    .2490501
  Adv. Degree  |    .109431    .100278     1.09   0.275     -.087413     .306275
               |
         _cons |   .0702592    .129711     0.54   0.588    -.1843612    .3248796
--------------------------------------------------------------------------------

. svy: reg medcarew1 stereodif pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       833
Number of PSUs     =       833                  Population size    = 757.71461
                                                Design df          =       832
                                                F(  11,    822)    =     19.33
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2475

--------------------------------------------------------------------------------
               |             Linearized
     medcarew1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .0020196   .1218821     0.02   0.987    -.2372129    .2412522
         pidr2 |   .4672919   .0474071     9.86   0.000     .3742403    .5603435
        female |  -.0746299   .0376293    -1.98   0.048    -.1484894   -.0007703
           age |   .3494292   .0896503     3.90   0.000     .1734619    .5253966
               |
        region |
North Central  |   .0861022   .0515832     1.67   0.095    -.0151463    .1873507
        South  |   .0589638   .0547677     1.08   0.282    -.0485353    .1664628
         West  |   .0696092    .055493     1.25   0.210    -.0393135     .178532
               |
         educ2 |
      Diploma  |  -.0569841   .0909738    -0.63   0.531    -.2355493    .1215811
     Some col  |   .0233579   .0852459     0.27   0.784    -.1439644    .1906802
           BA  |   .0916033   .0882496     1.04   0.300    -.0816147    .2648213
  Adv. Degree  |   .1321434   .0878277     1.50   0.133    -.0402465    .3045332
               |
         _cons |   .0353021   .1205159     0.29   0.770    -.2012489    .2718531
--------------------------------------------------------------------------------

. svy: reg medcarew1 iat_d stereodif pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       781
Number of PSUs     =       781                  Population size    = 708.78396
                                                Design df          =       780
                                                F(  12,    769)    =     15.53
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2384

--------------------------------------------------------------------------------
               |             Linearized
     medcarew1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0036328   .0392557    -0.09   0.926    -.0806922    .0734266
     stereodif |    .030071   .1308109     0.23   0.818    -.2267121     .286854
         pidr2 |   .4618232   .0503582     9.17   0.000     .3629696    .5606768
        female |  -.0779744   .0387849    -2.01   0.045    -.1541097   -.0018392
           age |   .3334174   .0971316     3.43   0.001      .142747    .5240878
               |
        region |
North Central  |   .0775472   .0519156     1.49   0.136    -.0243637    .1794581
        South  |   .0621242   .0557258     1.11   0.265    -.0472661    .1715145
         West  |   .0821945   .0574613     1.43   0.153    -.0306025    .1949915
               |
         educ2 |
      Diploma  |  -.0964932   .1038247    -0.93   0.353    -.3003022    .1073158
     Some col  |  -.0039387   .0978518    -0.04   0.968    -.1960229    .1881454
           BA  |   .0532002   .1006218     0.53   0.597    -.1443214    .2507218
  Adv. Degree  |   .1115785   .1002521     1.11   0.266    -.0852174    .3083745
               |
         _cons |   .0718563   .1302533     0.55   0.581    -.1838323    .3275449
--------------------------------------------------------------------------------

. 
. svy: reg medcarew10 iat_d pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       721
Number of PSUs     =       721                  Population size    =  642.1024
                                                Design df          =       720
                                                F(  11,    710)    =     19.94
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2982

--------------------------------------------------------------------------------
               |             Linearized
    medcarew10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0172267   .0398752     0.43   0.666    -.0610589    .0955124
         pidr2 |   .5516167   .0485833    11.35   0.000     .4562349    .6469985
        female |  -.0501647   .0355064    -1.41   0.158    -.1198732    .0195438
           age |   .1923799   .0903587     2.13   0.034     .0149819     .369778
               |
        region |
North Central  |    .022884   .0527956     0.43   0.665    -.0807677    .1265358
        South  |     .03348   .0526965     0.64   0.525    -.0699771    .1369372
         West  |   .0554289   .0530945     1.04   0.297    -.0488095    .1596674
               |
         educ2 |
      Diploma  |  -.1254691   .1173123    -1.07   0.285    -.3557841    .1048458
     Some col  |  -.0735627   .1144006    -0.64   0.520    -.2981613    .1510359
           BA  |   .0168771   .1143373     0.15   0.883    -.2075973    .2413514
  Adv. Degree  |   .0862026   .1109949     0.78   0.438    -.1317097     .304115
               |
         _cons |   .2016092   .1213893     1.66   0.097    -.0367101    .4399285
--------------------------------------------------------------------------------

. svy: reg medcarew10 stereodif pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       763
Number of PSUs     =       763                  Population size    = 684.72664
                                                Design df          =       762
                                                F(  11,    752)    =     21.47
                                                Prob > F           =    0.0000
                                                R-squared          =    0.2944

--------------------------------------------------------------------------------
               |             Linearized
    medcarew10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .1907068   .0978931     1.95   0.052    -.0014655     .382879
         pidr2 |    .523316   .0495872    10.55   0.000     .4259722    .6206598
        female |  -.0534683   .0345192    -1.55   0.122    -.1212324    .0142957
           age |   .2106563   .0831851     2.53   0.012     .0473571    .3739554
               |
        region |
North Central  |   .0200348   .0488025     0.41   0.682    -.0757686    .1158381
        South  |   .0251338    .050842     0.49   0.621    -.0746732    .1249409
         West  |   .0501584   .0516944     0.97   0.332     -.051322    .1516387
               |
         educ2 |
      Diploma  |  -.1195839   .0954553    -1.25   0.211    -.3069706    .0678027
     Some col  |  -.0680127   .0907611    -0.75   0.454    -.2461841    .1101588
           BA  |   .0274955   .0925244     0.30   0.766    -.1541376    .2091286
  Adv. Degree  |   .0794429   .0903951     0.88   0.380    -.0980101    .2568959
               |
         _cons |   .2068434   .1042598     1.98   0.048     .0021729    .4115138
--------------------------------------------------------------------------------

. svy: reg medcarew10 iat_d stereodif pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =       718
Number of PSUs     =       718                  Population size    = 639.13271
                                                Design df          =       717
                                                F(  12,    706)    =     18.64
                                                Prob > F           =    0.0000
                                                R-squared          =    0.3008

--------------------------------------------------------------------------------
               |             Linearized
    medcarew10 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .0053477   .0396388     0.13   0.893    -.0724744    .0831698
     stereodif |   .1633927   .0984266     1.66   0.097     -.029846    .3566314
         pidr2 |   .5381827   .0509157    10.57   0.000      .438221    .6381444
        female |  -.0467617   .0353645    -1.32   0.186    -.1161921    .0226686
           age |   .1819343   .0886097     2.05   0.040     .0079689    .3558997
               |
        region |
North Central  |   .0202971   .0521704     0.39   0.697    -.0821279    .1227221
        South  |   .0352796   .0525394     0.67   0.502    -.0678698     .138429
         West  |   .0592556   .0528553     1.12   0.263    -.0445142    .1630253
               |
         educ2 |
      Diploma  |  -.1336157   .1142729    -1.17   0.243    -.3579652    .0907337
     Some col  |  -.0873211   .1106883    -0.79   0.430    -.3046331    .1299908
           BA  |   .0057654   .1114317     0.05   0.959     -.213006    .2245369
  Adv. Degree  |   .0788135   .1082047     0.73   0.467    -.1336225    .2912495
               |
         _cons |   .2167484   .1186509     1.83   0.068    -.0161964    .4496931
--------------------------------------------------------------------------------

. 
. * Table 6S (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. 
. svy: reg obdisapw19 iat_d obsupsum pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1424
Number of PSUs     =      1424                  Population size    = 1287.0262
                                                Design df          =      1423
                                                F(  12,   1412)    =    174.55
                                                Prob > F           =    0.0000
                                                R-squared          =    0.6206

--------------------------------------------------------------------------------
               |             Linearized
    obdisapw19 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0121826   .0156141    -0.78   0.435    -.0428116    .0184465
      obsupsum |  -.5414069   .0335354   -16.14   0.000     -.607191   -.4756229
         pidr2 |   .3003389    .032441     9.26   0.000     .2367015    .3639763
        female |  -.0184053   .0151825    -1.21   0.226    -.0481877    .0113772
           age |  -.0173837   .0386033    -0.45   0.653    -.0931091    .0583418
               |
        region |
North Central  |     .04913   .0231357     2.12   0.034     .0037464    .0945137
        South  |   .0173783   .0233519     0.74   0.457    -.0284295    .0631861
         West  |   .0374995   .0244461     1.53   0.125    -.0104548    .0854539
               |
         educ2 |
      Diploma  |  -.0890093   .0396122    -2.25   0.025    -.1667138   -.0113048
     Some col  |  -.0982665   .0380276    -2.58   0.010    -.1728626   -.0236704
           BA  |  -.0746385   .0382058    -1.95   0.051    -.1495841    .0003072
  Adv. Degree  |  -.0834821     .03888    -2.15   0.032    -.1597504   -.0072137
               |
         _cons |   .7165648   .0554797    12.92   0.000      .607734    .8253956
--------------------------------------------------------------------------------

. svy: reg obdisapw19 stereodif obsupsum pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1498
Number of PSUs     =      1498                  Population size    = 1358.7201
                                                Design df          =      1497
                                                F(  12,   1486)    =    182.20
                                                Prob > F           =    0.0000
                                                R-squared          =    0.6219

--------------------------------------------------------------------------------
               |             Linearized
    obdisapw19 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .0580806   .0511604     1.14   0.256    -.0422731    .1584344
      obsupsum |  -.5362429    .033033   -16.23   0.000    -.6010388   -.4714469
         pidr2 |   .3010347   .0311196     9.67   0.000      .239992    .3620774
        female |  -.0121969   .0152524    -0.80   0.424    -.0421153    .0177214
           age |  -.0277471   .0379354    -0.73   0.465    -.1021593    .0466652
               |
        region |
North Central  |   .0449376   .0225318     1.99   0.046     .0007405    .0891348
        South  |   .0105708   .0226889     0.47   0.641    -.0339347    .0550763
         West  |   .0311875   .0234651     1.33   0.184    -.0148405    .0772155
               |
         educ2 |
      Diploma  |   -.081212   .0399953    -2.03   0.042    -.1596647   -.0027592
     Some col  |  -.0877328   .0379952    -2.31   0.021    -.1622624   -.0132033
           BA  |  -.0655538    .038196    -1.72   0.086    -.1404772    .0093696
  Adv. Degree  |  -.0691384   .0396356    -1.74   0.081    -.1468857    .0086089
               |
         _cons |   .7051907   .0533711    13.21   0.000     .6005007    .8098807
--------------------------------------------------------------------------------

. svy: reg obdisapw19 iat_d stereodif obsupsum pidr2 female age i.region i.educ2 if white==1
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs      =      1411
Number of PSUs     =      1411                  Population size    = 1275.7371
                                                Design df          =      1410
                                                F(  13,   1398)    =    162.79
                                                Prob > F           =    0.0000
                                                R-squared          =    0.6244

--------------------------------------------------------------------------------
               |             Linearized
    obdisapw19 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |  -.0179258   .0155374    -1.15   0.249    -.0484046    .0125531
     stereodif |   .0782484   .0548089     1.43   0.154    -.0292673    .1857641
      obsupsum |  -.5391799   .0340259   -15.85   0.000    -.6059266   -.4724331
         pidr2 |   .2961514   .0319962     9.26   0.000     .2333861    .3589167
        female |  -.0166472    .015328    -1.09   0.278    -.0467153    .0134209
           age |  -.0235579   .0384347    -0.61   0.540    -.0989533    .0518375
               |
        region |
North Central  |   .0443273   .0227371     1.95   0.051    -.0002749    .0889295
        South  |   .0145958   .0231038     0.63   0.528    -.0307257    .0599172
         West  |   .0351863   .0241944     1.45   0.146    -.0122746    .0826471
               |
         educ2 |
      Diploma  |  -.0927673   .0391162    -2.37   0.018    -.1694995    -.016035
     Some col  |  -.1003395   .0375568    -2.67   0.008    -.1740127   -.0266663
           BA  |   -.075051   .0376544    -1.99   0.046    -.1489157   -.0011864
  Adv. Degree  |  -.0831766   .0383953    -2.17   0.030    -.1584947   -.0078585
               |
         _cons |   .7218771    .054599    13.22   0.000      .614773    .8289811
--------------------------------------------------------------------------------

. 
. 
. * Table 7S (Panel)
. use "panel_working.dta", clear

. svyset [pw=wgtpp20]

      pweight: wgtpp20
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. 
. svy: probit obmuslimw11 iat_d knowlsum pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1333
Number of PSUs     =      1333                  Population size    = 1197.8573
                                                Design df          =      1332
                                                F(  12,   1321)    =      9.32
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
   obmuslimw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .1515214   .1153771     1.31   0.189    -.0748193    .3778621
      knowlsum |  -1.701223   .2561146    -6.64   0.000    -2.203655   -1.198791
         pidr2 |   .7199527   .1587835     4.53   0.000     .4084597    1.031446
        female |  -.1964566   .1154605    -1.70   0.089    -.4229609    .0300476
           age |  -.2290095   .2916864    -0.79   0.433    -.8012242    .3432053
               |
        region |
North Central  |  -.0683168    .164058    -0.42   0.677     -.390157    .2535233
        South  |  -.2479005   .1619359    -1.53   0.126    -.5655777    .0697767
         West  |  -.3529693   .1954129    -1.81   0.071    -.7363199    .0303813
               |
         educ2 |
      Diploma  |   .3338861   .2941928     1.13   0.257    -.2432457    .9110179
     Some col  |   .1300118   .2862367     0.45   0.650     -.431512    .6915356
           BA  |  -.0410321   .2940211    -0.14   0.889     -.617827    .5357629
  Adv. Degree  |  -.3665455   .3041194    -1.21   0.228    -.9631507    .2300596
               |
         _cons |   .2391369   .3657692     0.65   0.513    -.4784095    .9566833
--------------------------------------------------------------------------------

. svy: probit obmuslimw11 stereodif knowlsum pidr2 female age i.region i.educ2 if white==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1404
Number of PSUs     =      1404                  Population size    = 1265.4426
                                                Design df          =      1403
                                                F(  12,   1392)    =     10.08
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
   obmuslimw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
     stereodif |   .7653654   .3685738     2.08   0.038     .0423503     1.48838
      knowlsum |  -1.605805   .2501802    -6.42   0.000    -2.096573   -1.115037
         pidr2 |   .6780085    .152953     4.43   0.000     .3779673    .9780497
        female |  -.1776104   .1141411    -1.56   0.120    -.4015161    .0462953
           age |  -.2673623    .278681    -0.96   0.338    -.8140386    .2793139
               |
        region |
North Central  |  -.0692406   .1617259    -0.43   0.669    -.3864911      .24801
        South  |  -.2261957   .1597815    -1.42   0.157     -.539632    .0872406
         West  |  -.3076158   .1874336    -1.64   0.101    -.6752961    .0600644
               |
         educ2 |
      Diploma  |   .3432764   .2666625     1.29   0.198    -.1798239    .8663766
     Some col  |   .1368851    .257566     0.53   0.595    -.3683708     .642141
           BA  |   .0040044   .2654157     0.02   0.988      -.51665    .5246587
  Adv. Degree  |  -.3241582   .2761822    -1.17   0.241    -.8659328    .2176164
               |
         _cons |   .1557209   .3394823     0.46   0.647    -.5102267    .8216685
--------------------------------------------------------------------------------

. svy: probit obmuslimw11 iat_d stereodif knowlsum pidr2 female age i.region i.educ2 if whit
> e==1
(running probit on estimation sample)

Survey: Probit regression

Number of strata   =         1                  Number of obs      =      1321
Number of PSUs     =      1321                  Population size    = 1187.0094
                                                Design df          =      1320
                                                F(  13,   1308)    =      9.03
                                                Prob > F           =    0.0000

--------------------------------------------------------------------------------
               |             Linearized
   obmuslimw11 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
---------------+----------------------------------------------------------------
         iat_d |   .1230612   .1167767     1.05   0.292     -.106027    .3521493
     stereodif |   .9027799   .3954542     2.28   0.023     .1269925    1.678567
      knowlsum |  -1.628835   .2571228    -6.33   0.000    -2.133249   -1.124421
         pidr2 |   .6261196   .1601295     3.91   0.000     .3119835    .9402557
        female |  -.1755216   .1176083    -1.49   0.136    -.4062412     .055198
           age |  -.2770862   .2954546    -0.94   0.349    -.8566981    .3025257
               |
        region |
North Central  |   -.069918   .1670287    -0.42   0.676    -.3975887    .2577526
        South  |  -.2303143   .1640509    -1.40   0.161    -.5521433    .0915148
         West  |  -.3082159    .200827    -1.53   0.125    -.7021909    .0857591
               |
         educ2 |
      Diploma  |   .3202975   .2934679     1.09   0.275     -.255417     .896012
     Some col  |   .1028173   .2865722     0.36   0.720    -.4593694     .665004
           BA  |  -.0476708   .2930383    -0.16   0.871    -.6225425    .5272008
  Adv. Degree  |    -.37077   .3031191    -1.22   0.221    -.9654177    .2238777
               |
         _cons |   .2180588   .3657002     0.60   0.551    -.4993582    .9354758
--------------------------------------------------------------------------------

. 
. 
. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/TJRyan/Dropbox/Summer work/Kinder/Replication files/analyses.log
  log type:  text
 closed on:  11 Aug 2015, 11:37:05
--------------------------------------------------------------------------------------------
